{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Dropout, Activation, Flatten,Reshape\n",
    "from keras.layers import Conv1D, MaxPooling1D\n",
    "from keras.utils import np_utils\n",
    "from keras.layers import LSTM, LeakyReLU, CuDNNLSTM\n",
    "from keras.callbacks import CSVLogger, ModelCheckpoint, EarlyStopping\n",
    "import h5py\n",
    "import os\n",
    "import tensorflow as tf\n",
    "from keras.backend.tensorflow_backend import set_session\n",
    "from keras import regularizers\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "os.environ['CUDA_DEVICE_ORDER'] = 'PCI_BUS_ID'\n",
    "os.environ['CUDA_VISIBLE_DEVICES'] = '1'\n",
    "os.environ['TF_CPP_MIN_LOG_LEVEL']='2'\n",
    "\n",
    "config = tf.ConfigProto()\n",
    "config.gpu_options.allow_growth = True\n",
    "set_session(tf.Session(config=config))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with h5py.File(''.join(['data/allcoin2015to2017_wf.h5']), 'r') as hf:\n",
    "    test_inputs = hf['test_inputs'].value\n",
    "    test_outputs = hf['test_outputs'].value\n",
    "    test_input_times = hf['test_input_times'].value\n",
    "    test_output_times = hf['test_output_times'].value\n",
    "    original_test_inputs = hf['original_test_inputs'].value\n",
    "    original_test_outputs = hf['original_test_outputs'].value\n",
    "    original_datas= hf['original_datas'].value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "step_size = test_inputs.shape[1]\n",
    "units= 50\n",
    "second_units = 30\n",
    "batch_size = 8\n",
    "nb_features = test_inputs.shape[2]\n",
    "epochs = 50\n",
    "output_size=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(CuDNNLSTM(units=units, input_shape=(step_size,nb_features),return_sequences=True))\n",
    "model.add(Activation('tanh'))\n",
    "model.add(Dropout(0.2))\n",
    "model.add(MaxPooling1D(pool_size=16))\n",
    "model.add(Dense(output_size))\n",
    "model.add(LeakyReLU())\n",
    "model.load_weights('weights/allcoin2015to2017_WF_LSTM_-21-09-0.85338.hdf5')\n",
    "model.compile(loss='mse', optimizer='adam')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "predicted = model.predict(test_inputs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "scaler = StandardScaler()\n",
    "predicted_inverted = []\n",
    "for i in range(len(original_datas)):\n",
    "    scaler.fit(original_datas[i,:])\n",
    "    predicted_inverted.append(scaler.inverse_transform(predicted[i,:]))\n",
    "predicted_inverted = np.array(predicted_inverted)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>times</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-12-16 08:55:00</td>\n",
       "      <td>17860.000001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2017-12-16 09:00:00</td>\n",
       "      <td>17883.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2017-12-16 09:05:00</td>\n",
       "      <td>17823.282001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-12-16 09:10:00</td>\n",
       "      <td>17860.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017-12-16 09:15:00</td>\n",
       "      <td>17846.900000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                times         value\n",
       "0 2017-12-16 08:55:00  17860.000001\n",
       "1 2017-12-16 09:00:00  17883.000000\n",
       "2 2017-12-16 09:05:00  17823.282001\n",
       "3 2017-12-16 09:10:00  17860.000000\n",
       "4 2017-12-16 09:15:00  17846.900000"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ground_true_df = pd.DataFrame()\n",
    "ground_true_df['times'] = pd.to_datetime(test_input_times[:,:,0].reshape(-1),unit='s')\n",
    "ground_true_df['value'] = original_test_inputs[:,:,0].reshape(-1)\n",
    "ground_true_df.set_index('times')\n",
    "ground_true_df = ground_true_df.drop_duplicates(subset=['times','value'])\n",
    "ground_true_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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J9JrKVig5IZISCanILHObWuZXIGOqmkqSMVm2uW/L9npJ0ppUMHfvv+59dOHJ\nHXqoJMk67zyVFQXkf/wxpb72NWnBgu59yaOPlmbOLHipIZrUno2bpd/9TqWpmOojbqB0+b1Lcset\nm5d7tcTbuZZIFD4PAAAAAEArBEpDVHtBSlZTvOcVSruyTKtEaX19pOC4mz42Wy9dc5xGl5rwqDGW\ncgOlkhIzKBqVnL5IVjyuQMb8zIpSCfmdHkplCbPL24aUu3xtXdX4wpNbvty8hkIaE2/WV/7vqwr8\n6EfSiScWHv/KK9Ktt3b8hVvZGU1q7trl0uWXqyrSqNqmwiFQUwfVUf94Y1PhC3fe2a25AAAAAABG\nLgKlISrZarevV9ftyFvKlF1uVR4OajhpXaE0saq44LiioF8Tq4pzgVpL3LPkLRsoRSLSl75kjmNR\nBdKmcqcoGZffWVp3+DjTY2n5DvdnGw120qy8sVGXv/hg519m/nzp61/P/1JpT/XQc89J99+f95Hm\nWErBYjOnonRS0XYqkRqiJmg6aGq19hhbpuoS9/fgrv+sliQ9v3K76p0lc/cvWiv97/92PmcAAAAA\nAESgNGS1rlD6+O0v6aO//K8Ovelp/fr5VWqOJ+WzpKLg8PpP3Lop98cPLNzbKCvkN98/kcq4FUrF\nTggViUhOJZIdSyiYTsmWVJqM5j5/WI0JYuIBN5CJBMOFHzZmjHldsEDnvfin/Guf/KSSGzYq3dgk\n/fGP+SFS3NMDy7uT3D33SNdem3ebZDqTayQeyrStQvrVc6v08JL12tZo7nnN/LFasPhXsuvq8sbF\nU2ld/LvFOvC7T+n9bc365l/eyr9Rq+cCAAAAAOA1vNKGESSRbrvkbdX2Fm1pjOkH/3pXTbGUSkMB\nWZY1CLPrP9Nr8ndbC/o7/n5+nyXLcoKYoiKzzM275M0JlBSLKmSnlfL5VRZ3AyWf02g77g/lztnt\n/Uydfkw67LD88+efLz30kP545mf0/BkXShdcIP3mN+71+nr3OObZge2FF6SKCjXHU7KdACqZtnM9\noN5d54ZE3zjN7Mh3y7/f1dWPvKm1zlLA3e//jfTQQ7rw1cfypvTeVreB94OL17X9LjffLNXWFv6e\nAAAAAIARj0BpiOqsh9J9L6/N9VEaTj579AwdueeY3PvOAjPLshTy+0wAV10t7djhBkotLblAyYrF\nFEynlPL5NTPk2QXNqRhKeCqUakurCj8su3vcfvvln99jD0lSxvIpsN4Jbz7zGff6D37gHnurlVav\nViIQ1Iv7H61/3fGIZFma88EbssImUAqnk/rcwj/puwv/oL3GV+Q98tpHl0mSQgkTUB06Pn9p4Iot\nbiVUdglcG8HhtVwSAAAAANCYge6eAAAgAElEQVR3CJSGqNY9lEYKv8/SrPHl3fpMyO8zAdzo0VJd\nnRp+fZe5EI3mehaFWprktzNK+QIqjTrVO4GAtHOnGerpm7S5vKbwg7LhVmVl/vl77pEkjW+q06rR\nBZbo/eIX0uLF0rvv5gdKkkJvvK5TV76kCb+4TZJ09MqFmvWy2TUumE7p68/fqwuff1BHTijcSyrU\nYOZ/+CN36Zq6pVrwm88qnEpoxo++o3/eY/pHnb1sgT66/Fk1TttDdcWeYKr19wAAAAAAwEGgNER1\nVqEkSbdfcOAAzGTgvfxBXeeDPIIBnwngxo6V1q5V5S03mQuRSC5Qqmg0y84S/oBKI071TihkKpok\ntXgCpXjAXf6WJ9tQu9RdlvfbeWdK60xV0qkrX1I4WXhXNh1yiLT33tq4eUfBy3PfXiRJ2mvbGpXt\nMN+/PO7ucOfbtLHth2xbgZTzvDlz9Nk/3qI96jdo8s6tmvPgb7Tf1lXaa9tq/ejxn+qn/7xNoeZG\nPbnnoVrz7+elhQulb37T/IwAAAAAAGiFQGmI6kqF0oyasgGYycDLdLM4K1ehNHZs/oVsoBQIqLLJ\nVPKE0klNf98sF1NRkeQ0s/ZWKCV9/sIPcsInb6Dkz+Tvwnb+m090ONfP/e6lDq8fteY1lddulSTd\n9eh33QstLXnjLDujNbd+WIEHH5T22sv0Y/KZ/933ql2bG/fE3e7ObsFIi5rDJVq1217SU09JN90k\n/frXHc4HAAAAADAyESgNUfEuVCiNKm2nkmaI22Ns94KyYMAyzaxPPDF3LiPLhDDptOxQWGVRU5VU\nnnAbciudltavlyQ1h9wlZT65O7Qtmnu0Oz67Q1u4nV3gCtlrr7y3pZ6G4O0Z+/7yticbGnKHs8aX\na8rOre618nLpH//IVRv95J+3tfl4omac/JEWNYVLtXFn1G0Unhp+fbgAAAAAAL1HoDREPVBoZ65W\nasq7EWwMITd+ZN9ujc815fY0y077fCY0SaVkh4KqiJkKn4Qv4H7QE9I0h0tyxymnQmnlPvM067JP\ntn1giTvWsu221yXdctRF2nDwEdJPf5p3fkrD1oLjO7XV/dzEqmKVxz0VS+m02VnOKe0Kp92m49lq\nq2CLCcN2FJerJZ42/aUkyd9ONRYAAAAAYEQjUBqC4qm0Fn5gKkjmTa3Ou/bZo2fo1xcepAc+fehg\nTG1AVBZ3b/exYHbJm2fXssZwqbRxo5TJKB0M6ci1r0uS7p9zqvvBgBsueXsorRo9Rd868XNquPs+\nVX7hM9KTT0qLFkm1taYSaLLbePv2w84pOKdfHXauXvzF/dLee+edH99c2+73eHj28e6bM8/Mv3je\nefqSvVYP3f91VTXUqjQZc6998EG79ww6S/KsSER2ZaXenLiXIomUFHM+36pJOAAAAAAAEoHSkLSt\n0f1H/on7jMu7dsVR03XyvuN12IzRAz2tAePzmd3UnJdOhbJNuSVFt9XpzAtv0/JxM0ygJCm4fVtu\n7Nvjdnc/+OMf5w6TgfwQ6w8Hnq6D5+9tdnY78URp/nyzi9wZZ0iSfnb5jbr3wNO1tXxMu/NqjCal\nqVOlZcty585a9rQkKVag8fc586e5b2bNanP9qlu/oEM2LNfX9wqr1Lt0z1NplZX2eyqxpk+XJFnv\nvqvVu+2l5rgnUEq000QcAAAAADCiESgNQU+/4y5vqipxg477Lps/bPsmtbbgy0fr+a8d26Wxuabc\nkuKlZXpj4l7aXlYtbdrUZmza23Db08Q76Q9oR1G5dPXVXXrmiwedoG+f+Lm8c4d+7p6897md+t56\nK3duasNWXXnGV/TG+D3b3NO6/nr3zezZ7T573I6tmj2+nT5TZea8f1S1dNxx5tyBzm6AN9+s4qKg\nIvG02+SbQAkAAAAAUACB0hB0wz/ezh0Xh9xKk6Nm1gzGdAbFHmPLNGVUSecDZZa8ZSuUsiHOhopx\n0vbtbcZ+7gRPk+wi785uAc390gPSLbd06ZnJTNveSVvK86vGEumMtjfFZa/L74f1132P1Wc+/k19\n57j/0QmX/VKqqDAXPEvpVO0sdRw/Xpo7N/9B69fry//3Vff973/vHp9yinm98kp3Sd+ll5rXlStV\nGg4oEomapXuS1Nws/ec/ud3uAAAAAACQpEDnQ7Ar81tm3dfxs8Z2MnLkCgV8ikRNr6Ds7ngvTd1f\nX3rpAUnSmqoJmrZzsyRpz4menlSe5tolxSGdfZAn0OlEOuPuwvfdYy9XPBCSLEv1P/ypLnIKkt7e\n1KiDv79AP5s7T2fefbd06aWmCkrSzuIK/e7gj5qBjz0mrV0r+Tz5r2dumj9feu01c2xZ0ubN7o5z\nkvThD7vHwaDU2GgqlVpapAULTKVSTY00dapKQwHZDY3u+C1bpCOPNMeJRF4fKgAAAADAyEWF0hDn\n92Vfu9hQaAQKepe8Oa/vjdktd/238zwNrj2NuL0VSs9/82T96JwDJEm7daEyamy5+9nfzv+Y/nDg\n6Tp0+iiVfOmLemv8HpKkp981vZu+tiwuXXKJ3jjqNDWVlGnNzadr/u6j3JsdcYTZpc0rW6Fk21Jp\nqXvesszOcRUV0pw55ly2wkmSPvEJqbzcjNttN1P1FI2ac83NKgn5lW5qdsd7grFCvZgAAAAAACMT\ngdIQ53MqlDLtbE8PKRSw2ix521nk9hiyvZU/3kDJG9R4KnOevOooLbvhpA6f+eNzD9D1Z+yTd87v\ns1QU9LcZm0hltK0ppniwSLvVb5a2btWZcyZKKlB59vLLplopGxIFAlJxsXvdGwDddpu0apUJj7K8\nu8N95jPmXtXVpmKpqUlFQb98kRZ3TDrtHsc8O8cBAAAAAEY0AqUh5rYnV+S9nznOLJFqvdsbXN6m\n3AknWMr4/Fp69mWSpGA6qWSRE8q0U6HkDZSKgn6VF3W89KuqJKSz5+UvkSsuECZlbW+KK5ltCH7K\nKTp//m56/foTddfF8/IHHnqoqSyaMEGqrDQ70cXdXf/y+iy9805uB7dOVVVJO3cqFPDJ7w2Ukkn3\nmEAJAAAAAOAgUBpi/u+Z9yVJx80aqyXfOkHTxpRq+Y0n69x5UwZ5Zrsub1PueNKtuPn3OZ/VHYec\npQcOOFnpQoFSOOy5Sfd7B/mt/GWI/3OkCXcWXnt8m7H1LQk3vFm5UpZlqaokJMtqZyljUZG0c6d0\n7rn5VUkzZ7rHGzd2fbJFRdLzzysU8GlHsFS67DLzs/Du8kagBAAAAABwECgNUafNnqAxZSbwKA0H\n2g8eoFDAs8tb2g1ftqYDuvmYSxULeiqRKivdY2+41IOfr7ev1dTRJTp0utnlbXxlkS46bGre2KZY\nyg2UfN3839LboDsScY/XrHGP//1v09y7PXvvLUmaVLtBH1RPlH77W2nePCqUAAAAAAAFESgNURVF\nbNDXVUG/L9eMO550A6UdEbf6JhMKmQNvoJQ910M+Twi1cUe0zZy8muMpBeJOYOOtOOqKU04xr9dd\nZ3Zwy3ruOSmVMscnnyyddlr79/j+96XNm9U0eZo27ozq/W3NpjeTdzkdgRIAAAAAwEGgNESlMjTh\n7qr2KpS8gdKmo5wm29nd0yRplGentR7wVii1/u916eHT8t43x1JqCTuVRpFI/lKzzhx+uNTSIn3n\nO9Idd0hz50qPPGJ2dPNWLHWktFQaPz4XdJ328xdNoBSLSTffbMZ4wyUAAAAAwIhGoDREbNoZVSSR\nyr2fPamyg9Hw8jblXrWtOXd+R4u7nOvVL19vmliP8zQ39/ZQ6gFfB6vkJleX5L1viad055mfN2+q\nq7vfsym77O3II6VXX5XOOkv6yU/c3eC6KO0EX4lUxny2sVE67jhzkQolAAAAAICDdVNDxIdufkb7\nT67UmLKQTtp3vKaMKun8Q5BklpdlbCmWTOu2p1bmzu/0VCjN22OcVFNm3rzyivTmm71+rrev1cWt\neiaZeVlKpm2FAr7cvL5+30u65Zy5PerZ1BfS3kqqykoTKGV3u2svUGpuNsvr5szJ32UOAAAAADBs\nUaE0hLy5oUHRRLrD7efRVmnY/Ly8S9wkqSXh7vg2PRsmSaYZ9WWXmeOHHjJ/emliVXGbc69df5KW\n3XBSrnpKksqrK90AZxAk060CpYYGdz61tSbouuQSybal884zzb43b5Y+/GETKgEAAAAARgQCpSGm\nhUCp26pLTHPtFVuauv/hc881f3rJX2D9W1k4oPKi/KVtZYPcbD3lbQheWZnfN2nrVvN6773S+vXS\ngw+an012aWB3+j4BAAAAAIY0lrwNAelWDZ2LQwRK3VFVYkKb51duH7Q5FAqUCikNDXag5Pldq6oy\nr9mgaNQoaa+9zKvf+R2cN8/dDY9ACQAAAABGDCqUhoBkOn8b+QmVg7ckaiiau5vZua1kEIM4Xwc9\nkbxZ02CHhel0gUAp2zspFpOmTZMyGWnSJNMvaepUN1BiFzgAAAAAGDEIlIaAeCo/UNp3Iju8dUfQ\nbxKbWDJT8PrSb53Q73PwdVCh5K1eGlPWu53lesu75O2G/24xB488Yl5jMdNPKRo170tKzDFL3gAA\nAABgxCFQGgJ+9dyqvPeVxd3cUn6EC/rNr3ksmS54ffQAhDj+DiuUzLVPHbqbTtpnXL/PpSMfm+vu\n0rakxamWuvlmyeczgVJxsVuxVFxsAiWWvAEAAADAiEOgNAS8s7kx7/3Y8sGtYhlqsoFStECgdPC0\n6gGZg7+D/9OyFUqfOWpGh5VMA+H0/Sfo1P3GS5K2lo1yLxQVmSApHHYrlLLnAk7fJ5a8AQAAAMCI\nQaA0BA126DDU+H2WLEuKF1jyduacSf367IDz36qjHkrZ6qXB7PHkFQ6YvxZqS6vck9nKpHDYVCI9\n9pj05ptSc7NkWaZKKZGQtmyRTj9deuqpQZo9AAAAAGAgECgNAXuMLRvsKQx5Qb+vYIXSii1N/frc\nM/afIKnjXd4uP3J3SVJpeNfYdDEbWNqWT1q2TGpocHsnZQOl+nrzPu38TLOBUjIpPf64tHbtIH4D\nAAAAAEB/I1AaAnaVoGEoC/osRRMm/LjyhD1z5/t7V7XspmkdBUpfOn5Prf7BaSoK7hoVSnn9nvbb\nT6qokCorpWeflRYtMkvbsv2Ssk28AwEplXL7KSWTAztpAAAAAMCAIqkYAqKJlEpCfr187fG5JVTo\nnoDfp1jKBEr7eXbJS6QK7/zWVzIZkyhZHSx56+jaYCgYflVXS2+/La1ebcKjbKBkO4lZMGhCpKDT\nMJ4G3QAAAAAwrFGhNAS0JNIqCflVWRykWqmHgn6f1tZFJEkBvxuYJNL9Gyh9/EDTo2nulKpORu46\nCvboGuVp0J1KuTu9ZZe8tapQSsZo0A0AAAAAwxmB0hAQTaRVEiJI6o2g31J9i6maCfjcX/s5/Rz0\nHL/3OK25+XRNGVXSr8/pSwWr4Kpb7YbX0mJevRVKqVSuQuknjy/vxxkCAAAAAAYbgdIQ0BJP7TI7\ngA1VmWzwIXdJ16jSkM45aPJgTWmXVXDJm7dCSTK7u0n5FUqeJW/BdCo3tLY5rmQ/V4IBAAAAAAYW\ngdIQEE2mCZR6KZZ0A42A39KLVx+rF64+dpfrX7Qr8DbltrNBXE1N3hi7ocEcZJtyZyuUfD6lLJ+C\nmZTsDRtkh0L64Tlf0y+eeX8gpg4AAAAAGCAESkNAhCVvvRZLpnPHfp+lKaNKVEY/qoK8FUppp6m4\npk/PG5PeuVOyrLYVSpKS/qCC6ZQSlk9WMqlgOqU/v7phQOYOAAAAABgYBEpDwPvbmlUU5D9Vb8Q9\nu7mxU17HvIFSKhsoHXywJOntmt0lSbHt9ZLPZ6qSpFyFkr1+vSRbZfGI4papqgtknNCpocFt5g0A\nAAAAGNJIKXZxdc1xNUSTWvDOtsGeyrBRsEcQcgpWKM2YIS1frp8ccb4kafU7a0yIlE5L27ZJ0aiU\nTGrRw/9WcSqhynizErb56yWQScmyJFVVSUccMcDfBgAAAADQHwiUdnErtjZJks6meXSf8e7yhrZ8\nVoEKJUnaZx9FQsWSpKqWBrPMLZWSvvUtacUKqa5Oqzeb3kqWbesHC0zfpGAmLUvOPZcuHZgvAQAA\nAADoV/zLehfXEjfLhS4+bNrgTmQYoUKpYwUrlByN4VJJ0qSGbW6FUsDpRVVcrCq/GW/ZtlY+s1CS\nNLapTm16nycSbv8lAAAAAMCQ02mgZFnW7yzL2mZZ1luec3Msy1poWdbrlmUtsSxrvnPesizr55Zl\nvW9Z1puWZR3o+czFlmW95/y52HP+IMuyljmf+bnFtls56+sjWl1rtmenh1LfCfr5FeuIN1DaGUnk\nXVs9apLSlk8+2SZQSiYlvz9XrWQnzHifbWtGnWnE7bczavMTD4elk0/uz68BAAAAAOhHXUkp7pF0\nSqtzt0q60bbtOZKud95L0qmS9nT+XCHpV5JkWdYoSd+WdIik+ZK+bVlWtfOZXzljs59r/awR68hb\nn9VNj78rSSoK+gd5NsMHFUod8zYtv+rhN3LHkURKzeESrameYE6MGWMCpUTCNOhOJGSlzE5vPjuj\nCc11kqRoMCx/xm2KnvP00/33JQAAAAAA/arTQMm27Rck1bc+LanCOa6UtMk5PlPSfbaxUFKVZVkT\nJJ0s6Snbtutt294h6SlJpzjXKmzbftm2bVvSfZI+2utvNQwRKPUdAqWOjSoN5Y7fWL9TDyxeJ9u2\nNfuGJyVJL06bay7ut58Jk+JxU6WUDZdkAqWipDm2ZSmQirsPSORXPQEAAAAAhp6erqO6UtIPLcta\nL+lHkq51zk+StN4zboNzrqPzGwqcL8iyrCucJXZLtm/f3sOp7/rSGVvX/fWtvHPFIQKlvlJdEup8\n0Ah21oGTVR4O5N5f++gyLVm7I9dP6cYTrtCnPvtLs/NbNlDy+aRkUlYiW6FkK5hJypZpyp2OxNwH\nNDcP5NcBAAAAAPSDngZKn5N0lW3bUyRdJem3zvlCpR92D84XZNv2nbZtz7Nte15NTU03pzx0bNgR\n0e8Xrs07V0qg1CdCAR/VXp3w+Syde/CUvHNraltyx7bl038qp2pFfdzs8haL5SqUJqxaLsn0TQqm\nU+Y4k1Zj0vO/9ahR0qmnSvPm9f+XAQAAAAD0i54GShdLetQ5/pNMXyTJVBh5/yU6WWY5XEfnJxc4\nP6JFk213v6JXed944/qTBnsKQ0Lr37bNDbE2Y17b4oRMLS2S369YNK4DXvyXJKnYLwXTKdmyFEqn\ntM1XpNTVV0shpzqsqMgEUQAAAACAIamngdImSUc7x8dJes85/ruki5zd3g6V1GDb9mZJT0g6ybKs\naqcZ90mSnnCuNVmWdaizu9tFkv7W0y8zlNW3JDTtmsf0zLtb1RJP5V2bMqp4kGY1/ATY4a1LfK36\nTK2vj7QdUxQ2Bzt2SMGg6ne26IPqiZKkORPKFEqnZFtSIJPSsateUfPLr5glcrZnhzgAAAAAwJAU\n6GyAZVkPSDpG0hjLsjbI7Nb2aUk/sywrICkms0ubJD0u6TRJ70uKSLpUkmzbrrcs67uSXnHGfce2\n7Wyj78/J7CRXLOlfzp8RZ8ka8+P4/ctrdcnhu+ddu/Ej+w7GlIalAA25u8T0yHf9aemGNmNqRpWb\ng7o62aGQgi3NWl86TjWxRpWnkrkKpWA6pbsfudH9YDpNoAQAAAAAQ1yngZJt2+e1c+mgAmNtSV9o\n5z6/k/S7AueXSNqvs3kMd9uazC5YNeVhNcfcCqUXrz5WU0aVDNa0hh2WDnbNuIqiTsdkipwxmzfL\nnjxZ4dQOhdNJpXwBKRLROW+9LEkqVqslnMmkGyjZtvT3v0vz50sTJvT11wAAAAAA9JOeLnlDH0il\nM7rp8Xe0tq5F9760RpJUXRpSc9yt3KgoDg7S7IaX8+bvNthTGFIubVUlV8iOMePNQSymTHmFKuIt\nKkrGlfD5pYi7RG7fMa3CKW+gtGGDdNZZ0m239eX0AQAAAAD9rNMKJfSf51Zs150vfKA7X/ggd+7X\nz3+QN8a7fTt67qaP7afvf3TEF8J1mb8LSwM3TpuVO874zc55s2rXqq6kUnrvPcnnkyor5UsmlfAF\nFMo4lXfeQGnKFGnGDGn9+n75HgAAAACA/kGF0iDa2tTxLlc/PHv/Ns2R0TOWZfGz7GM7y6ulgw+W\nJDV8+vO586MjDeYgk5GKi+VLJvX6xJlaNWqSOZ9MSoGAlHICplCIfkoAAAAAMMQQKA2iM+dMavfa\n0TNrdM68KQM4G6Br5u8+SpKUSGWkRYuk+no1HntC7vork/Z2B2/apAlL/qtQOqWkz6m281YoSTTo\nBgAAAIAhiEBpEJV5lrN5lxj5fZauPW1WoY8Ag+6YvWo0vqJIyXRGsiypulrR4jKlLPPXyerqtkHp\nnM0rNat2rXnzyivS2rUESgAAAAAwhBEoDbInrzpK/77ySC3+xvG5c6tuOk2zxlcM4qwA6ZIPTSt4\n3ralUMCnh5ds0FNvb5UkxdO2AnZGkrSlfLQ7+LTT2t7grLOkRx5xd3kb5EDJtm194y/L9PKqukGb\nAwAAAAAMNQRKg2zmuHLNGl+h0WVhfeXEmbrosKmDPSWgQ4lURkG/qaj79H1LJEnxVDp3/ekZ893B\no0blDv8z55i2N0un8/spDYJEOqM/Llqn836zcNDmAAAAAABDDVuI7UL+9/g9B3sKQKd2RBIKBfx5\n5xKpjL550ue179ZVWjHWE4qOG5c7rK0c0/Zm6bSpUGpp6a/pdiqRygzaswEAAABgqCJQAtAtH5s7\nSa+t25l3Lp7K6P65zvI223YvHHBA7rA2E2x7s2yglExKtbXSF78oXXyxdOqp/TH1ggiUAAAAAKD7\nCJQAdNmam0+XlN9EXpJiSXfJmyzLVCaNHStNnpw7XWuF3DGjRkn19WapWzZQqqyUnnlG8vsHNlBK\nEygBAAAAQHcRKAHokp99ck7u2Bso/fPNTfrSg6/nD1671gRLb72VO7W1zO2nlOuZ9MYbbqAUDErj\nx0vRaL/Mvz1UKAEAAABA99GUG0CX7DuxMnfsDZR+88IHbQeHw1IoJNXU5E5tqHL7KeV2dTvqKNM/\nKe1UOPn9A96g2xsovbO5cUCfDQAAAABDFRVKAAqyvb2QJAU8IZL3+I0NDbnj687YR3OmuMGTJk6U\nJK0fM1mRULH35u5xMumGSIGAGy4NkLgnUPrv+7Xae0LFgD4fAAAAAIYiKpQAFJTJz5Pa9E0q5JMH\nT9FBUz1L2/x+aeFCXf6Znynp8+wM99WvusfeEGkQKpS8gVJFcYHG4QAAAACANgiUABSUblWh5A2U\nXlpVV/Az4UCBv1IOOUSXfmSekn4T1qwbNVGaPt297g2UBqFCiR5KAAAAANB9BEoACspk2l/y1p6A\nv/BfKefN303rK8fpngPP0Hc++mVTiZT7UMCtShqMHkqeXd4i8YF9NgAAAAAMVfRQAlBQOtN+hVJP\npPwB3XDiZzWmLCQFtrsXLCu/QimR6NVzuutnC1bmjlsSA1sdBQAAAABDFRVKAApqveQt4Oubvy5s\nW/kVSt5AaRAqlF5dtzN3HElQoQQAAAAAXUGgBKCgNhVKfrdC6SsnzuzdzQOe4kjLarvLWyIhzZkj\n3X57757TTS1xKpQAAAAAoCsIlAAU1DpQ8vZQmjKqpMf3tSzlB0qS1NBgLmQDpVBIeu89adWqHj+n\nMxt2RPT7hWvzzlGhBAAAAABdQw8lAAWNKQvnvfdZbqDk60U/pTFlYcmbR3num7fkraZGqq3t8XM6\nc8ndr+j9bc259+MriuihBAAAAABdRIUSgIK+fsos3XLW7Nx7b4XSuHITNn3+mBlac/Ppuviwqfrt\nxfM6vN93z9xXklQWDkjl5YUH+f1uP6XqamnHjl58g47tjOQ3/x5THmKXNwAAAADoIgIlAAUVh/z6\nxMG75d57q5IOmT5a9102X1c5vZRuPHM/Hb/3uA7vd+Fh03TUzBolM3b7gZLP51YohUJSMmmOr7lG\nuuWWnn+ZQo/yVEZZllQaClChBAAAAABdRKAEoEeOmlmjoL97f4UEfJbeWL9Tb8c8u7z9+c/ucetA\nKeFUEd1yiwmV+kAsmdaWhlhexdWPzj5AxSG/Fq+u75NnAAAAAMBwR6AEYMBkQ5zTHn5f2meftgP8\nfrcqyRso9aEL7lqkQ3/wdN6udaXhgGqcnlGZVs3IAQAAAABtESgBGDC5ZWaWJS1f3nZAIOCGSMGg\nGy71oaVrTV8mv2fJW3lRQFNHm07hKQIlAAAAAOgUgRKAAeMNaz5//9K2A3w+N1Dqpwol91FuoBRL\npuX3mb8OMzaBEgAAAAB0hkAJwIBZ8M7W3PHjy7a0HeD351co9WOg5K1QOmT6aGXbQVGhBAAAAACd\nI1ACsOt4/fXOK5RaWqRIpNePyuZJoYBPZeFArkIpTaAEAAAAAJ0KDPYEACBnqbMM7qGH3ECp9RK0\nsjLzp6mpTx5ZFDBBUrZHN4ESAAAAAHSOCiUAg+foowuf/+Qn3abcliV9/esmYMpqbu71oy2ZBKko\n6Jck+Z2eSgRKAAAAANA5AiUAHfrn/x6h31w0r0/udfrsCfkn/vpX6d57Cw/2LnkrKTHHqVSvnp9M\nZ9zjjDkOB50KpdZNuR9+uP25AQAAAMAIR6AEoEP7TarUifuM65N7/eL8uVr6rRMkSSUhv1RVJV1w\ngTSvQGAVCpkKJckESpIUjfbq+ZFEus25OVOqJSnXlLs57oRWn/iEdMklvXpeX3p+5XZdcvdi2exC\nBwAAAGAXQKAEYMBYlqXRZWEdN2usZtSUmZN+v3THHW0H3367FIuZ49JS89rLpW6RhFvhNLrULKG7\n9az9zTScCqXjb3te6+p63/S7r336viV6bsX2gqEYAAAAAAw0AiUAAy7gs/KWn6moqO2gZNKtUKqq\nMq87d7rXbVtatsz86SJvGBNPZTR7UqWKQ9keSu641zfsbP3RQee0eFJLonfL/gAAAACgLxAoARhw\nfp/l9iqS3CVtrWUy5njhhEMAACAASURBVE+1WZamHTvca4mEtP/+5k8XRb2BUjKTa8Rt5uTTdU//\nRmtuOUP1zfEu33OgZJuIR+JUKAEAAAAYfARKAAacz7Lyd1PLLmkrJJksXKEU6f6ytGjSDWMS6YyC\nfssEVlu3ym9ZunzJ3yRJqdSuF9pYTvaV6/EEAAAAAIOIQAnAgPP5LHnzJG+F0uLJ++YPTiSk8nJz\n3Nws3XmnOW5p6fZzvRVKiZRTofTjH0vjx6ts47rctWC01b1/9jPpmWe6/by+lF2uF98Fwy4AAAAA\nIw+BEoAB57eUX6HkCZTun3NK/uBYTCpzGng3N0s1NeZ427ZuPze/h1JaAZ9PevFFSVLVyuVK+AKS\npEBTY/4Hr7xSOv74bj+vP8RTmc4HAQAAAEA/I1ACMOB8VqseSj73r6J4IJQ/uKXFrVBqapLGjzfH\nW7d2+7kxz5K3hmhSAb8ljR0rSQo31CsRCEqS/HFPD6X0rlURlCBQAgAAALALIFACMOB8PkuZvDVv\nrpZgcasTLVKxcy4ScXeE84Y+27d36bneCqVk2lbAZ0khE2D50ymlLfNXoi+ZcD8U72aD7kzGLNPr\nQ94QiUAJAAAAwK6AQAnAgPNbltJ24UApGmxVoXT77VLQVA4plZICZlmakknpgQfMcW1tl57rbcot\nmd3msvfzp1JK+/ySJMsbCMVirW4SldqZuyTpvPOkcLhL8+mqplgyd5xIEygBAAAAGHwESgAGXJum\n3B4pfzD/xN//Lvn9zsVUfriU3R2uizu+RRP5O6QF/L7c/XyZdK5CyUq6AY6am93jxkbT7+l732v/\nIQ8/7B6/9Zb0xhtdmltHvDu7UaEEAAAAYFdAoARgwPks5Za8vb+tKa+3UcqpEso54QTJciqJvIFS\nMuk28+5ioNQcz69QKg35W1Uomb8S/QnPMjdvoJTt23TffZ0/rKVFmj1bmjOnS3PrSFPMDZS2NMbU\nEE12MBoAAAAA+h+BEoAB5/eZJW/RRFon/PgFXfXQ63rp2Vd19gW3KGN5/lrafXd3yVkgYEKk7JK3\nRMINl7oYKLXEU6oucSugysLB3D1MDyUTZj26aLX7oUbPjm/ZfkqhVsvyCrnuui7NqSsaPUvebv33\nCn30l//ts3sDAAAAQE8QKAEYcD7LNOVOZszyrSeWb1FzzQQtmbyvUp4d3xQOuw2ug8H8CqX33pOO\nPtocNzdL8+dLF17Y4XNb4imVFQV01oGTJUl1LfG8JW8Z59nBtGdpnDdQygZXXQmUNm7sfEwXeSuU\nJGl1bUuf3RsAAAAAeoJACcCA81mmh1IqbZa9ZWwp5SyBS3uXvO3YIT36qDluveQtGnXHRaPSK69I\nf/hDhw2zm+IplYYCWlvbrMPWvql9Uw25/kxWOJwLs0Jpz5Iyb6BUV2dei4tNtdINN7RfHbXPPh3/\nELqhdaAEAAAAAIONQAnAgPP7TKPpbU3uDmpJZ/eytHfJW7ZnUXZ3t/p6N2DyBkreUMcbALXSEk+p\nLBzQGXuN1gMPfkPnv/9iLoCq+/yVuSVv7QZK69eb15oa6Y47pBtvlG67rfDDvDvFbdvW7py6ojlG\nzyQAAAAAuxYCJQAD7s0NDfr/7N13eBzVvT7wd8oWNVe5YRsMtsH0bnozAZxcOoEAIYXQLyUkJBcI\nXEgIhJBALoQfJYRiQmiB0A2YEpqxMdjGYAy4d9mWZHVpy7TfH2fKmd1ZSZatYu/7eR6enZ2dnT0r\nHo+0737P9wDA1c/M8/cZbrWSqen5T7AsURE0bx5wySViXzoIo9DaCjzyiNhuJ7xpzZgoS+j4yT5D\nAADlg/oD7rQ7Nab5DcHjZoFAydsuKwMaxXsIBUdydZS8v66u4JhkX65pwH++3ZC3nxVKRERERETU\n1zBQIqIeZ7nT2+TVyky3QimrRgRKpinCnAULgn2tUh+htjZg0CCxLa/KlqPFrVBSvIqm0lI/UDLt\nYLpd0pTCIPl1vJDItkWDcCCYggcE+4BwBZUcLrXj5P/3MX42ZXbe/uaMiWQsuFxXlic6dT4iIiIi\nIqLuwkCJiHqcqioAgqokADDckMkoVKEkSySAmhrvZCK8KSsT91sLN6xuzVgoS2jBFLmyMnFuRYFh\nO36FUkIOlOTpdN4qb4YRDpRsW0zPMwpUNnUyUCrkpc/XojwR/FyyptXO0URERERERN2PgRIR9ThN\nEYGS6VYHAVKFkhbLf0JuoNS/P7BundiOxURV0ooV4n67gZKY8uYf41UoaZpoFO72bwoFSnKlkRco\ntbYGgVZFBXDLLcDw4cDKlcGx8pS83ECpujr/PUkOuPUdzFkppsk5joONrVnsMbJ/cGrDLvRUIiIi\nIiKiHsFAiYh6nOZVKJlBMOI15Tb1iEDJNIGLLgrul5QADQ1iW9dFs+yLLxb3CwRKjuOgJWuiIqEH\nYU8yKYIdVcVeo/pH91CSAyXveS0tQG1tsP+ll8RtVVWwzwufABEoKQpw3nniecOGAb/5jei59N57\neSvT1bZkcPc7i8VpTBuW7eDAMYOC01m2P20Qth2sPkdERERERNRDGCgRUY9zC5SQteRASQQksWQ8\nOPCBB8StZYV7FWlaEPTE40Bzc/BYY6OYfrZ2beg127IWHAeiQsl0m1zrul+hpHiDApC0ClQoedPf\nmpvFGAARMnmVVlLFVagqydt+8skgiHr5ZeCpp4BJk4ApU5Ar64ZtGfc2GdNCjy/a4L7na64BKivb\nrcwiIiIiIiLa0hgoEVGP0yJ6KJnudjKRExwBIgCSAyVdD4Ieb8qbp65OTD8bNSr0mq0ZESKVJfRg\nuplliRBIFZfCmC2OWXLgUcET5UDJ225sDMbT1BQESfJqblGBEhCuRlq6VNwuW4ZcXsVWxhBjlZty\nA8B37/kIHyyqAe6+W+yQK6aIiIiIiIi6GQMlIupxqlQN5Hnh8zUAgLgmXZa8QCm3QknXg2BGrlBS\nFOBXv4p8zRY3UCqXK5T+9Cd/yhsAxCwTb4+biDv/9wcAgKW77g8cdlhwEq8KqLExCKXq64NAafXq\nYNxyiCRPf/Pk/gweeQQr7jgR/dIiHPPCNq9CKaEHFUpJI42rpz+JhStrgufff3/k+yYiIiIiIuoO\nEcspERF1LzU/T8LKjWI6maZJD+ruJcqyRHCUux8IB0qxWMEV1VozIgAKTXnzKpQ0DXjvPexevQyr\nBgz3H//s0BMwduRI/xz2ypVQATiNjVC8kEgOlLzAacCA4DWA8HZOvyQAIly67z4AwPYN6/GTOa+h\npF8pcOXh/tQ2uULpR3Nfx9UfP40//CEJR9OgWBbw8ceR75uIiIiIiKg7sEKJiHqcFpUouWKqim93\nnwicfHL7U978J0hT3mIRDb1dXoVSWVwN92byKpSOPx4AoDo28M9/iuckykIBlbNkCZripVAcRwRJ\ngHhtr1rJmxKnqsCsWcGLe1PbgCBQyq1QcgOzuGlg3MbVGLpRrGK3tEa8t3FDy/HjQ3ZA/5IY0jFx\n7C41KzBn+M7i+UcfXfC9ExERERERbWkMlIiox7UXKOmagruvvV80rZYrlOSwKDdc8lY5iwiU/vru\nYvzpzW/9HkrDZ30EvPqqeLC6WlQGWRZQXg4AKDEywHXXAQBMG4ARrPimNTVh6eDR4o4XNLW2BoGS\ntwpcTU24Eum994LthQuDbfmYRELcWAZ020SjpSBr2vhidSP6JXVMGN4Pt5yyB+49Z1+kYkkAwMim\nGpQa4jXN5mbg3Xc59Y2IiIiIiHoEAyUi6nFRPZQ8uqrC9KaQeRVKkycDa9ZIB+nR25q0EtrAgQCA\nv7y9CPe/vxStWREolWalJtteuNPYCJSVAQAqzKDf0VvNcVTXNoXGl4qJ4McPmuRAyVsFLpccHJ1x\nhritqQkf41YoxSwDMcuEqer4wUMzMXX+OoweVOofloxpKHFDJEdR0D/l9lxqbAa+8x3g8sujx0BE\nRERERLQFMVAioh7XXqAU05Rg9TcvLFq1KtwbqVCgJPdZymmE3ZwWgVIyXqB1XEUFAGCfQTpw/PGo\nKRuAuaN2xacffB46LKO7VVBeoDRzZtAjyatQyuUFZLICvZ5Ux0bCNKBbJj5f1QAAGFAaE8HVuHEY\n/vK/RBUVAMW2UdkmjgmtRkdERERERNTNGCgRUY9rZ8YbNFWBZbuBklxx5E5JAxCe2iYf079/sO0G\nSr97+wH8/q378eLMpbj5nb+hZOE30S/snl/JZgHDwPKB2wEATnzl0dBhaV1UKNle3yYgCIey2fDY\n3GlskYGS18Db4x6j2zYq2+px5IogyIppKrB+PbB0Kbb/xWVImuL1VMdBwhLBli1XR3mrzXnuuw/4\nPByMERERERERbQ4GSkTU49qrUKprzWL6klpxR64+ciuI8vZ7AY6uhxtdWxZgGPjJ3Kn40eevY+Gq\njTh/zqtI/P530S88e7a4vf56wDBgqtGVTGldVEGpK1cGO70KpWw2HHBdcIG4jVrZzbKA3/5WbCuK\nf4xmW1AcRzQHB3Dml29jpzWLQ9Ppku60vKQ0PQ+tUqA0ezbw5ZdimqDjAFdcAey3X/T7JiIiIiIi\n6gIGSkTU8wrkSftuPwArNopgxHGccHAkVyhFTXnTtFADbQCAbePDMfsiq+p+QNOu7bcX0+amT4ep\nimCoYeAQYNQo/xAvUArxeigZRnhst9wSfhwAnnxS3Hq9lAAR+vgVShY0BIHSn9+4BzfddJ4fKDnx\nOBKmeJ+3TrowOIVc8VRfD+y9N3DmmUBTuAcUERERERHRlsBAiYh6nFIgUXrxvw/ztw0rJ1Bym2YD\nCFcBeceoav7UsmwW6ysGo7ZsADTbQodWrQLOOQcAMLSlDgBg6jHgmGP8gMlSg9devvPeYsMLjEwz\nukn4xx+L2/HjgXPPBUaMEE3DTz/dH7thiHMcMKoCSU2B5jjQLVH51Fre3++R1PbqVCTNDGpKB2Bx\n5fb+SynyFDyveuqTT4Da2o7fNxERERER0SZioEREfUppXIQwWcsO9yMqDVY6C+2XK5SsnNAom0VG\njyNuGVCjpp21Y0KtCGV00wDicawcPQ4AQuf5Bm7I5U1Hy61Q0nOmzXlT8nRdhE9//7u4X16Oz278\nEwCgoSkFxX0fA1Oiuug/p18IvPceAKCkXwV+OO9NDGlrgC6FZGpKmvJWXR1s19eHxzB3bn4lFxER\nERER0SZioEREfcq1kycAALKmHQ5kvAbXQHSFUoFAKavFEDeNzk15A4BLLvE3r57+JAbU1wCxGP56\n6e0AAFvq0zTMrWLyzFq0AWlHAVasAGbNCsYpj10eazIp7lsWSipEYDZ510r/fZz15dsAgGNeetSf\nPqcOH+afJmaLCqZHDjgFyy+5Ojh/nTSuG28MtgcMAPbfH7j55k78IIiIiIiIiApjoEREPa6dntyI\n6+KylBso1aTM4KCoptyKUjBQSlgGtKiV1qJI596napE7qLhfDTR35AQ8t/uxYrcVrvTRbAvNJoAd\ndgAmTgwCpYsvFrdegKTrYqze45blT6lLmIY/de/XHz0hnpaS+iMNHw4MHYoXdj8Guvt+vxo2Fs0j\ndwiOkae/TZsWbDc2its5czr1oyAiIiIiIiqEgRIR9Tg5T+pfIgKhw8YNBgDEtehA6f/eWx48SQ6U\nvCloDQ0FpryJQEl3OuihVFsrnj9xIgDgpu9fixUDR4jHYjHoboWTqep4Yc9JAABDC09p020LdlT1\nVGWlaMLtjU/Twv2WTBOOKt63nk7lDU21LOCQQ4AhQ0QoZdvQ+/fzK5RMVYOVyQZPSOWfIyS3YoqI\niIiIiGgTRa+LTUTUjeQKJUUBZl4/CRVJESz5FUqWFQqOmk2pB5IcKGWlICWn9MlJp5HVxHkTRhbt\nGiwCLfzoR8Do0fjhhP3x3qnni32ahuv+fDkAEd7E3GbZuX2ZdNtCypbG4IZEMM0gRPLGb1nB45YF\nUxFBlCb3QvJOY1vive25p9iRyeC4fbfHfrEVAESwZcqBUibT/nuVG5wTERERERF1ASuUiKjHXX7M\nOH/bsh2M6F+C8oQIibxAKZNToWSpweWqVS42kvbnBkp21kDGDZSe/dFenRucogDHHINdRvTDUSvm\niX1/+QsGNorV0ixFheZWK/39wNNCT9VsKzROAEEDbl2HaZi4481v4bjh0uMzV4qKJtOE6VY26VKg\nNGe7CbDLy8WdGTNEZdG99wLNzSgpL8Wou+8AIKqmkiuW+c9z5Kbcsr3dVenS6c79LIiIiIiIiApg\noEREPW6HwWV+gGTb4SqfQj2UvAoeAFjYIPUuai9QamzEgWsWAAAq1Q6mvEVI2m7Vjxn0b2pOlGJ8\n7SoAwIpB2+Gqk37lP6Y7NixpnGKn7lcobWxswwPvL0XaBmBZuPmVBTAgej/Z7vuQK5TKsqn8flFX\nXSW2pWlrRy2bg4l/Fs23n9/jWCyN9Y9+Q96Kb01Nnf0REBERERERRWKgRES94o4zRMWQlTNtLFGg\nh5KhBkFNazwZPEEOlHKqg+Z9sRyTF38i7syYUXgwH38cubultJ/YeOGF4Jzb7YLfvP8YADH9LWEG\nU830qAqlWAwwDEDXobg9lLKK6odUlupWKKnivcZqa/ynTqhd6T8HAFATPCZrTpT623+feBqmDtwZ\nAPCfnQ4IH7hKBGEd9lgiIiIiIiLqAAMlIuoVJXFx+cldfC3ooWSHqnCyUgPsGeulKVtyE+ycMOeZ\nDxcFd667rvBgDj00cvf/nXcD3j/mDOCkk/x9bbEgzDIVDUkpUKpsrYel5VQoeYGSponm2gCWbkz5\nDbotRQUsC5Z7OU4sWxJ6utLcHNyprQ22PxFBmf2zn/nVTQCQMDL4+YynAQAv73ZU9PvtqMcSERER\nERFRBxgoEVGvKImJgCi3QsnvoWTYQL9+/v6UE1yuvGoeAO1WKOnZzesV1DByBzx87q9F/yNd9GKa\n8rOJ/uOWqoYqlCqyKTy/1/Hhk9TVAW++Cei6aK4NUdnkeIGSW6HkhUJqxCpvvjapYfcSETwpa9ci\naQYBUXkmOMZw+0flYaBERERERESbiYESEfWKkrio5LEK9VCybKA0mMqVlcKRoYMr/G0TEauqPfec\nOJfRieBk6NCCD81d1YDpS2rRljVx3/2v4NJzb8Xh4yqDMekxJEwj9JynDzwp9zTA0qWiQskNlGxF\nRX2TCH6CCiXAVFSo7TXMbmwMtidPBgAoDz6IUjvo8ZTR4/62qeZUSyXd6ioGSkREREREtJkYKBFR\nryiJaZH743IPJbfJtjlgYCgcSUkVSqsapADGDZSmzF0PAEgaQfVQQQMHdnjI+sY0Ng4dhU92ORC6\nFlw203oCSTMLUwn2HbtsdvRJpClvpqoBZlChZBsGLNuBpapQMjmB0gknANXVwO9+B0ydCvziF2IK\n3YABYrrfDjugvmJQ8DIIArqJOw8LzvP++8CIEWKbgRIREREREW0mveNDiIi2vGQsOs/W3VDI9CqX\nZs3Cl3YZjEc+8o9JSyupZeTF29znvrOkHj8FUGK2E5y8/TZw3HF50+SixDQVlu1Ay1lFLq3HMbSl\nDtmBg6DXif5Gu2xYFn2SF16A5oiGUbaiYn1dCwBRoWRkTTiOCJdiXoXShg1BaKRpwE03if1HHilu\nf/hDYP/9AUXBE0edg4H77YXf6BMwaelnAIBLT70ekweWB69/1FEiiAJEoDRypDjX0093+P6JiIiI\niIhysUKJiHpFQo+uUPIyG8frrTRxItKVw2BIVUkpBM81vYIcKRzyVlqLW+HpaL7hw8V/8gtG2GtU\nf/EatgPbcaCq+YHS8JaNSO6xu7/PyekJFQzUhG57VUkiRBLbGlpb06JCSVGheiuwxWJAPB5uOi7b\nbTfg9NPF+yxN4uP9JgGKgsFtDQCAr4aPw/H77xB+zoYN4jaTAaqqgGeeCT/uOMDLL/sr0BERERER\nERXCQImIekVCj778eKGNnMsYtgNDWuWtxa1Q+nDMvmjzVok7+2wpUBKPyw2zfQ89BHz5ZTD960c/\nKjjGi47YCQDwwtw1qG3JQs8JlGxVw0/OugXqm28E4y8UxmgaVMfGkJY6KI4D3bZw/KKZ0G0T2ayB\nvW+/HhVZqSF3rEBD7QjD+yWxtEZUPA1pFYFSTdlAlPYPek3ho4+CCqVUgcbfr70GnHoq8Ic/dPq1\niYiIiIioODFQIqJekSzQQ8nLbGwpUTItO9RsujErHsvocSxsFolS08YGv+m07VYd/WTOa/kvMH48\nMGQIMHiwWDXt2msLjtELkO79zxK8/fUGqF410+9+F1qBDiUlwCGHiPGbBr5aKzXPvv12ceyJJyJm\nW3jmuZswoWYFVMfGtR9MQUWmDbZhYsSM98MvvgmB0nYDkvh2fTMA4M2dD8WVJ/0aN35/v1BTc0yb\nFmxnC/SWqq4WtytXdvq1iYiIiIioODFQIqJeES9UoeSGNvLib4bloCUehCOKFDa1xUWI1LqxEfj3\nv7H0/P/Gt0N2FK9hR1QL6VLruJKSdqe8yQ24AUDz0q6bbgqvuAYAb4gqpRIjgxPvnR7sv+46ceyo\nUQCAsdUrYCsqYpaJHeuqkNHjcNJplK5fW3icHRgxoMTfXjZ4FF7d7SiUJzQ/lKoeOipoPn7yyYVP\nVGi6HhERERERUQ4GSkTUKzRVwQE7DMRfz9k3tN+Ld+QKpRlLa5HVg4qdhUNEb6C3xx2Er4eK8Khh\nyAhgxx3x1VW/CU2Py3/hAj2JIscYvp875S2kf38sO2oyqssLrBonBUSWomJc3RqoEH2TGpatDoVk\nmzpOWVlcPC/uNfMGUDtomJjK9vTTYtW4jrQTshEREREREQFc5Y2IetHzlx2at09xw4y/vL0I+4we\ngIxp4R8zgylY/9rzO1gxaCT2vPpZNLtVS2v6D8OlJ5yCXQGYltN+oLQJlT9tWSt0P7cp9z8vOAgb\nW4OV5P52xR14dvbqvPNsbMmgpjaFCe59S1pZzlJV7L7q606PKYotlXMdu+swvPJFFVKGBYwdiwfO\nuw7z9j0Sfxs7Fhg7Fnj88cInYoUSEW0FHpm+HAftOAh7jOzf20MhIiIqaqxQIqI+xcts6lqzOPW+\nj1HXGqzUNuba1/A/37saANCcKBOVNIqCuSN3RdoSYYhp27DVdqp7NqHyJ2vaofu5FUqHj6/EKfuM\n9O9f9Z3xkef5/oMz8a/P1/n3LSW49FZk2jo9nkIuO3osBpbGcMT4SkwYIRpx90uK4OzeHY/CtGob\n1c1pcbDbZ8q3bh3ysEKJiPqw37/2NU68dzoWVDV2fDARERF1GwZKRNSnqFKYYdoOkrHOXaYyhqgm\nylodVNlsQqCUNsKBktpB0DJyQAl+fMgOGFAabqi9vLYVZqgqqWvT2QoZUBrH5zcdjycuOAiXHDkW\nf//xAThut2EAgiqrmUs3ioNzq5A++2yLjoWIqDsZVnBdvvgfc3pxJERERMRAiYj6lNzQptBqcJ7/\n2msEACDtVhOZlt3e4Zs05W2X4eWh+1p7PZRcMU2FYeaPYcf6Kn/bkd5jZF+mKVM6PcZcmqrguN2G\n+VMH8+QGSiUlwIMPAsuXc8obEfVZWdNGW9YU03ldMY3VlERERL2JgRIR9SnSbLBOzby6/fQ9AQQV\nSuYWrFDaf4dB4ad2IlDSNQWGnT+GEc21/rbcgFv+PNQad1drO+20To+xI/+84CAA0vS9E08Ejjkm\nOKCxEbjssvA+Tnkjoj7mR4/Mwm43TUNa6m03uDzRiyMiIiIiBkpE1KfkRhkdBUQJXVzG0v6Uty1X\noZSrUxVKqhqqklpS3SLGpQXT4HQ7+EAkh0u/Of6/gRtuACoqujzGXOOHiSor/+dSUQH84x/BAS1i\nfKipYYUSEfVZs5bXAQCa0qa/b87Kevzh9W96a0hERERFj4ESEfUpuVPe7A5CjrgmLmN3vrUIwJat\nUMp7aicqd3RNge0EK6+9Pl80vXakqGyE0eJvKwjGu3TwaODWW7dohVDM/fmEpuE1NQXbXqDEqiQi\n6qNSUlXSGQ/MCD320IfLeno4RERE5GKgRER9Sm6gZErTx9695ii89YsjQ4/n9goy7e6rUFI7ccX0\nAxx3HF6/j4VDdvCPKWkJAh159OYWbtYNAHG3gitUuRUVKBER9VFepScANKaM0GPlmTY43jXtmWfC\n1zciIiLqVgyUiKhPkfMhBYAlBURjh5Rj52EVuPG/di34/A6nvG1GhVJpvOMwymuy7VVKeZVBDx50\nBvDHP+Ydr2Qy/rahdT3sKsRrWmvIlVvpdLCdSrkDkX/wrFYior6jOWPk7Xv0pwcAAL66+yxg9Ghg\n/nzgnHOAiy/u6eEREREVLQZKRNSnyBVKDqKnsB0+vrLg8/OOP++88P3N6BNUluhEoORWKHnj8N6O\nHo8B114LfPopcJBolI2zzgo9965LJ3V5bIV4UwIz8pQ3KcTywyVFYQ8lIuqTWqS+SZ5JE4bh1yfs\nAgBQmpqAtjbxwNKl4lo2f35PDpGIiKgoMVAioj4ltzjGilgxTclr3R0wcyuU7r8/fD8e7+rQUBbv\nuLrJrwhyK6u8gOy4XYeJAw48EHj9dWDmTODZZ/3nVVVUonKnUV0eWyGKoiCmKTDkn0s2G2zL1UpE\nRH1QQ1t+hRIAxOWFEgz3GMsCHn8c2Gsv4M03e2B0RERExYuBEhH1KaEKJSfcQyk4Jnz/sqPH+kFO\nNrdCKSEtKz1/PjBkSJfH1rkpb+EKJdUd7F1n7R0cNGgQcPDBAAB7bRVuPO4yHHrZYyiJbfkeSoCo\nUsqaNqZ8vBwfLqoJB0relLfONIgiIuoFz85eHbk/mU0FdzZsELeOA3z2mdhevLibR0ZERFTc+AmC\niPqU3LAoskIpp4wpoaswLAfXv/Alnv50VfhguQn3Hnts1tgSsY4vmV6wdeNL85E2LKytT6E8oSNZ\nICxStxuBf+73X4CiFDxmc8V0FYZl47evfo0fP/ppOFDypolYVjDljT2UiKiPGVSWX11ampIWFfCm\nuI0fHwTlsRhQz/ZLNwAAIABJREFUVQU8/HAPjJCIiKj4MFAioj4lf9W2jiuUEroIYp7+NOJb7C1Y\neVPbnOnwGK+K6Z1vqnHRP2bjlS+qkOxEEAWg2wKluKYWnvLmffCS+yoxUCKiPqQta2H/HQbm7R+w\nbk1wJyVVKz32mLiNxYCTTwYuuiioYCIiIqIthoESEfVp8ipvHjWiQkmm5SZOW0hzRGPYXCXxYCwf\nLa4FANS2ZAsdHtJd445pKjJGgabc3ocwwwCOP15sVxZuek5E1NNSWTNySnBpQ62/nWlxqy29qktA\nBEpr17oHZETD7vb6Kn3+OfDb326BERMRERUHBkpE1KdFVyjlBEo5FUA7VpaFn/DCC+K/LiiVGnHv\nOap/h8eXxDrus9TTErqK179aF+wo1JR7oFsBEIv1zMCIiDqhLWuFrsVHuCt96tkgHJ/+pZjuXFPT\nAEyYIHbKVUstLcAFFwDf/S7Q1BT9QhMnAr/7HRDxRYbvT38CFizo2hshIiLaxjBQIqI+LbqHUvi+\nN+UtuJ9zaTvtNPFfF3z0P8f425ceNbbD40s7sRJcrmsnT8CTFx60yc/rrJimIi1XKJ18MvDGG0C/\nfuKD1+23i/1eDyXL6raxEBFtqlTWQol0bX3spwcCABQpEG+obwYAVK2qBioqxM6FC4H168V2Swvw\nwQfuCaWgSWa6VahG9KpysCzg2muBg7rvek1ERLQ16XtfpRMRSToXKEVMefvVr7ZII9bB5cEqcZ2Z\nkiYHSnFNRdZq55tu12VHdxxUbY6YnjPu7bcX/5WWig9Q5eViv22LH257384TEfWwlGGhJKbh/h/u\nh6qGFHRNXPPjlgh+bChImqLycmCqCciWiieukXosNTQE22aB6cuK4i4vaoZXCPV4oXuhQIqIiKjI\nsEKJiPq0qECpox5KAIA//xmor++uYRUkf4vemTCpJ+RWcPliMfFNvLcSnmUBmiZu6+pEP5FMx43I\niYi6S9a0YdoOSuMavrfnCFx4xE7+YztViGuXqWooMcS1akCqGWhtFQfU1AQnqg36LcE0gdWrgXXS\nVGAg+LaiUIWSk//7iIiIqJgxUCKiPq29HkpexVCim1ZH6wpvlbe+ZOyQsugH4nHRT0lzf36mKVbF\ns23g9deB/fYTH7qIiHpJKium4JZEXFvLHVFp9Mejz0epIaa/3XPYObDq3WokuUKpujrYNk1Rpbnd\nduETdhQoedWbXAmTiIgIAAMlIurjvAqlmddP8vd5M8+8yqTICqVeEtVD6YkLJvbCSALD+iX97RH9\ng22/QskLlOQKJe8Dk/cByrb57TwR9biU4QZKUV8cpNOwFRWPHnAySo00/rPTAXhk4mkwveltK1YE\nx+ZWKEXxrnuFHuc1kIiIKKTvfAojIopgWuIP+GEVUhDi/s2fdD9g5AZKvfk3f1S4dcT4Ib0wkkBS\n+iBmyz+cQlPebFtUKgHih/ncc6LP0sqVPThqIiLAcKcOx6O+OGhtRSZRAigKtm9Yj7ZYEpOWfIqE\nZQLnngu89VZwrLyyW0eBEqe8ERERdQoDJSLq00zbhqIAqtQQ23BDpqBCqXunvF07eQIuPnKnjg8E\noChKaGW4vkCumgr1pCo05c2ygkDJtoEhQ0QT2sWLe3DURETBtGfd+x2wfr0IfqZMAVpbYekaPnzw\nAgxIt+Cg1V/htmn3iePi8XBjbTlQkrdlHVUoccECIiKikL7X7IOISJK17OCDhMsLkg4bVynux7o3\nG9/UVdh0rW/115ArlEKBUqEpb3KFkm0Do0eL7bVre2jERESC5YY4/iqbCxeK2/PPB849F46qY/vG\nDQCAIW0NqC3tLx5vaQEOOyw4UUtLsD19evSLsUKJiIhokzBQIqI+LWvaeau6VZYnMO3qIzGmUiwN\nnTvNLNnNAVNHYlrw+j8/dnwvjkQ4dteh/raZW6GUO+UtqkKpv/sBrbm5h0ZMRCTkVSiVlAQPPvUU\nKnKOr2xrFBtygAR07vrlXffYlJuIiKhTOOWNiPq0rJlfoQQAuwyv8Ke6VZYnQo8le3nVt5gaXFoj\n+370sKEVSfz2pN0wacJQ2LkVSrlT3qKacvfrJ7YbG3t24ERU9Lw+en6FUjrdqedZp58e3iH3Uyo0\ndY0VSkRERJukw086iqI8qihKtaIoX+Xsv1JRlIWKoixQFOVP0v7rFUVZ4j52grR/srtviaIo10n7\nd1QUZZaiKIsVRXlWUZT4lnpzRLT1e3LWKnT0J3xugBS10lpPiulBAJZbXdVbfnrYjhg/tDy/QkkO\nlAo15Y7HxX+sUCKiHuZN0/WnEqdS4vb738879rEfX+tvm4PaWQyhra2DF7Wi9zNQIiIiCunMV+dT\nAEyWdyiKcgyAUwDs5TjO7gDudPfvBuBsALu7z7lfURRNURQNwH0AvgtgNwDnuMcCwB0A/s9xnPEA\n6gFcsLlvioi2LW3ZAn/cF1Aa793ZvLpUoRRVXdVbVFUJr/LmBUodTXkDxDGFPmQREXUTLwTXvGuS\nV6H0/PN5x9q77OpvG+2F+a2t0pMiqpUKXevYlJuIiCikw0DJcZwPAdTl7L4MwB8dx8m4x1S7+08B\n8IzjOBnHcZYDWAJgovvfEsdxljmOkwXwDIBTFEVRAEwC4P1V8DiAUzfzPRFRkev1KW9SU261DwVK\nuqqEm3InEkAmkz/lLbcpNyDu89t5ItoEy2tb83c6DnDNNcBnn4nrz9tvt3sO0xLXID+cb6e66Lxj\nd/O3TaWd3wNyoCSHR941jhVKREREndLV5h47AzjCnar2gaIoB7r7RwJYLR23xt1XaP9gAA2O45g5\n+yMpinKxoiizFUWZXVNT08WhE9G27tCxg3v19RXpm3GrD32jrasqbEda6S03UGqvQklV+e08EXXa\nzKUbccyd7+O52avDDyxdCvzlL2KVtuuvB44/Hpgzp+B5LFvqoeQ4wO23hx53zjrL304M6OdvZyGF\n+bnVTHKgZJrBNgMlIiKiTdLVQEkHMBDAwQB+DeBfbrVR1FfxThf2R3Ic5yHHcQ5wHOeAIUPamRtP\nREXrlSsOw0l7b9fbw/BVNXSugWxPKE+KqW0tafcDVKEeSrlNuQEGSkS0SepaswCA61+YH36gqkrc\nKgqwYIHYbudLQm/K24inHhPXofnh8ym/+EVwp6zM38zKFUpnnBE+qVzltCmBEld5IyIiCulqoLQG\nwAuO8CkAG0Clu3+0dNwoAFXt7K8FMEBRFD1nPxFRl+xYWdbxQT1oTX2qt4fg6+cGSk1pdwWjqAql\nqKbcQBAoffghcPTRwLJlPTt4IupT5qysx8aWTMHHvam/pu0gY0oBjbdapKYFwYwb4KxvTIePRVCh\npMRi0S+UkFb5TCb9zWx7oc+//y29gPt6ra3ieijvy8UKJSIiopCuBkovQfQ+gqIoOwOIQ4RDrwA4\nW1GUhKIoOwIYD+BTAJ8BGO+u6BaHaNz9iuM4DoD3AHhLdfwEwMtdfTNERFof6lkEANd9d5feHoKv\nIik+kPmBUjy+6VPe6uuBDz4QHwrnzgXOOQdYvryH3wkR9ablta0444EZ2P/Wd/weR7kMKwhfsqYN\njBkDnHkm0NAgdmpasCBAfT0A4ODb38W5f58VOo+3KINWWhI9GDlQ0oMFGbKO+7ugf//234xXoTRL\nel1WKBEREXVKh4GSoihPA5gJYBdFUdYoinIBgEcB7KQoylcQDbZ/4lYrLQDwLwBfA3gTwOWO41hu\nj6QrAEwD8A2Af7nHAsC1AH6pKMoSiJ5Kj2zZt0hExUTtY3/ojxta0dtD8JXERXCUNtwPRSUlQEtL\n55ty27YIoQAxVa6qCnjmGaC2tgffBRH1thVSs+1xN7wReYxcabSuMQ2sXCl6GTU3i526DpSWiu0N\nG0ToBFH5JFtZJ16rsiwePZgCgZLh/Yk7YADw3nuF34whVWx6OqpQYqUSERERANELqV2O45xT4KHz\nChx/G4DbIva/DuD1iP3LIFaBIyLabH2tQqkvSejiA5b/QW+12yz3kEPEbWcqlORASa5sIqKiUZMz\n1c22nbwVLTNmULl0weOf4SN3u7WuEWWACHC860xdHeavrkPcNJDVw1PbWtImdFVBwsxGD6ZQhZIX\nKFVUiOtVIb/8JXDzzeHzyH2VZAySiIiIQro65Y2IqE/S+liFUl8SBEruB71Fi8IHyD2UCjXl9gKl\n3KlyRFQ01jeGFxvwp9FKqpuC0Kl6Q4O//dZnbv+1eNyvVrKXLcPSU87BortOAyD6JrVlRagz8Nv5\nuPaDx4P+RrnkIEjqs/TKLHcqbmkpMFis/GnrEd+jPvOMmIrXmQolTnkjIiIKYaBERNuU3G/JKZDQ\nRQCU8aa8XXJJ+ACvMimqKbeisEKJiHDGAzPw9KerQvte+nxt3nErNwbT4irbGv3t6vV1YsO2RSNs\nAOozz+Cs+e8AADTbwuF3/Ae73TQNjuPgol+chYtm/CuYHgcAF10UbEuNuP3rFoBFKzaIjbIyYNgw\n8XChyiNV3bQpb0RERASAgRIRUdFIxnKmvJ1+eviAm28Gvvmm8z2UGCgRFZWPl9Rizsp60RNJ8ttX\nv8471mumDQCDpECpxHArjQwjsupoQKoZdbWNKMu0Bf3eAOAHPwi2jz022K6Q+tS5lUPLB45AVb8h\nYt/ppwOjRgEAlp18dvQbUxRWKBEREXUBAyUioiKRiOVUKMkfoABg3ToRFBUKlBwneE42G/QrYaBE\ntM37uqoJP3x4VuRjE4aHFx+obclg5rKN/v2hCIKjuOVOjysQKF3z0T+x8C9nYMHdZ+HFv70QPDB7\nNnDCCWI7kRD3X3xR3J82DZg5EwBQN+1dnHHenVg5cDvse+WTwOWXA4oCJ5XCsRPOFcckK/Cvu54I\nzr2pFUqsVCIiIgLAQImIqGjkNeXODZSy2WBq26b0UCo0jYSIthnVzeGqpD1H9sfi276LE3YfBjsn\nYDnrwZloTBk4dOxg7DKswp/aBkiBkmlGNsvWraAf03b/98fggWOOCY5PJID99wdOPVXcP/544OCD\nAQDq4YejrrQ/AKC+tL9/LUupOhxFXAMHpZuRGTI8OLdpAv36Bfc55Y2IiKhTGCgR0TbhwfP2xyn7\nbNfbw+jT8ppyqzm/AuRAqdCUN7kqiVPeiIqGaYXDlLKEhpimYlBZAnWt4WBoWa0IkAzLxsINzSjN\nBmFU3HQDo2+/jaxQmli71N+++7BzYaha8ODcue5J4gXHGdfD1zXHDYFa0uHgu7FiYHAnkRA9mi69\nVNwv1ACcU96IiIhCGCgRUZ/3/f1HdXjM5D2G456z9+2B0XTO3T/YBzd8b9feHkaI35RbWs4bxx0H\n/OxnYtsw8gMl7xv53GbdDJSIiopp26H75QmxolpleRx1rVnYtrhWOFIVT1NKhDilRhAonbhwutho\nbQUag95KnjHrV/jbumPhpuMuCx70jm8vUNLCf9oud8Otlkw4UFqWkY6bPRtoawPuukuE5l/n94QC\nwAolIiKiHAyUiKjPu/PMvXt7CJvs1H1H4qIjd+rtYYTENAWKAqQNKQB66y3gllvEtuOIQMlb7Q3I\nr1DyQiR5m4ES0TbPyKlQqkiKasVBZXHYDtCQEpVHjalgylpTWmwnzPypbQCAmpp2XzNmmTDlCiVA\nhD7u9LYoek6g5AXouYHSC59XhZ/4t7+JKqVBg0JT9EJYoURERBTCQImIqEgoioKkroUrlIAgGBIH\ntT/ljRVKREXJsMLXjcFlokpocLnoxbbf79/G1C/XobYlmC7W5IZLcakv0qZ4+pkbYGh6eOcvfwnE\nYp0+h+VWTr0yTwRIjRMPRWOJaCJ+0GVTggNfeAFoaBDT3wpNeWOFEhERUYje8SFERLStSMRUZIyc\nAEiXfhV01JRbrlDynsem3ETbvNxAaUiFCJL6lwThzrOzV+Oyo8b693+05CMc9Mk0HLN8Tpdf11I2\n77tP0w2UHp6+HACw+oXXceHjs4GmNDb0qwwOnD4d2H57YNiwyGbhABgoERER5WCFEhFREUnoan6F\nkrzaG3soEVGEVDb877zSrUyKaeHpX16F0q9P2AXXPf2HyDCppmwAUsceBwB4cp/JeY+/tsvh/na/\n0sL9kjrDsm1kpWteWULPa9zta24W/Zk6aspNREREABgoEREVlUTUlLdkMtjODZS8sMjbzx5KREUp\nZeQ05XZ7KOnSapEfLqrBW19vAACcfeDogueyFBXTK8cDAOpK+sNQwn2S3hof9Ei65NDtN2vcpuWg\nRpqGV57Q4aCdSqNEIr9CadUqoLaWFUpEREQ5GCgRUZ9z+LhKHDG+suMDaZMldDXclBsQU9e8KW4d\n9VD65z/FfVYoERWVVDaY2nrwToNw+DhxjdZzKpSmLVgPABgYL/wnpqVo+Hp1HQDAVDU0JstCj//k\nsDH+9vYjBwcPrFnTqbHuMLg0eC3bwbxVDf798oQeqljKk0gAqVTOCXcARoxgU24iIqIcDJSIqM/5\n54UH4YkLDurtYWyTkrGICiVFCaa9RVUiASJQchxg9epgPwMloqLRlrVQGtew4o//hWcuPgRlCVGh\nFFPDf0pmTRvnTBwNtaa64LlsVYVui+uGoeloTohAybjxfwEA++86Kjh4//1FE+5p04CRIzs11g9+\nfQz+fdkhAICp89fh8qfm+o8lYyo2NBWY0gaI69k77wATJwJNTcF+0+xchVJVFfDyy+HnEhERbaMY\nKBERFRHRQykiAPKmvRWa8uZVKHkBk1yhxL4iRNu8lGGhJKbl7c+tUAJEcI2NGwuey1JUaG6gZKkq\nWuIlAIBYpVuNJK/iVloqpqAdf/wmjVdzr2FPzloV2q/kVBed+4NbgztVVUFo9dlnwHXXhU/amUBp\nxgzg1FOBlSs3abxERERbIwZKRERFRKzyFhEAdaZCSQ6UokInItpmpbIWSuL5gVJuU24AaEmbwK9/\nXfBclqpCc8S1xIYKDBggHhgv+irh3/8G/v53sX3wwV3qXaSr+eP6+LpJofsVCR0zxuyDJrdCCiNG\nAAceGBzwwAPhE3QmPPeO0fJ/VkRERNsaBkpEREUksik3IKoAgCA4mjJF3JcDJcsKVyitWBFsE9E2\nzZvylktT8/+UdFJtwFtv5e3P7ncAANFDSXVDIltR8PHE44E99gDGjRMHPvooUOaGPC0tXepZpEUE\nSrnhl2mLMZxxxd+BmTPFztLS3KcFOhNsyddMIiKibRx/2xERFZHIptwAUFEhbr0KJa/5rTzlTf4w\nZdvASy+JbdMUU1LWri283DYRbdXWNaUxpCKRtz+qEmjIoq8jz2H94XZxq6pQ3QolR1Hx8C7HAvPn\nA+XlwcHeNWnEiC6NN2pcuf2efnXCLgCA7LDhohIKCIKsKPvtJ0Kv731P3L/7buCrr8LHyNdMIiKi\nbRx/2xERFZFkTMPi6hZ8tbYx/ID34c2rRDLdFZ1yK5S8D0uWFQRMjiOa2I4aBcyb1/1vgoh6lOM4\nWFrdgnFDyvMei2n5f0pOfO/FyPPE46KRt60Ez3EUoLbFDaJLSuSDxW3//l0ac2SFkh4e688OG4OT\n9t4OqlwB5YVFURRF9HdSFKChAfjFL4Dvfjd8DKe8ERFREWGgRERUROLuh78T750efiC3QskLlLwA\nSdPyeyh5244TPL+5uRtHT0S9oTFloCVjYvSg/OlgUU25hz7xaOR5NF2ELLaiQPGnvKk4c393VTe5\nOmjoUHF79tldGrMeUSHkTXnbe5QIqRRFQUxVYFjSNOCRI4FVq4AzzwyuazJFEde8JUvC+++4A5g9\nmxVKRERUVPTeHgARUSF/PWdfjBpY0vGB1GkxvUAvkmHDxK3XQ8kwxH3bBhYvBhobxYcruUJJ3vY+\neHGpbKJtjtd3Laoptze17Oiln+GXI7LY+N9XY/edhkafyA1Zxg/vh8/dQMkBYHuzaeNx4KqrgN13\nB/bZB1i+HBgzpktj1iKCLm/K25MXHYyaZlEVpWsKLDunN9Lo0cBOO0VP4fWm/x5wADBokJgql0qJ\nFeFiMeDBB70BdGncREREWxMGSkTUZ52893a9PYRtjlqoue127s/aq0SSK5QefRT44gvgkEOiK5Rs\nO79Cado0cXy/ft3zRoiox2TdQClqepvu7jtq+Vzs9c5HwF//UPhEbqCTjOtQzKBCyZb7s91zT7Dd\nxTAJyO+hdN7B20N195UndJQnxJ/AmqrCsCKabScSojecF657NE1MdwNENZNhBAsUGAabchMRUVHh\nbzsioiJiF1qlyJteYtsiRJIrlEwzmApnWWI7t0LJa6bb2gqsXg1Mngz85Cfd+2aIqEd4U8ISekSg\n5IY0aT0hgpY//rHwibxAW1Ewedeh/nYytuWreeQeSuOGluPWU/eMPC6mKTBtO/8Br4fTBx+E9+++\nu6jaBETPp3RaVDQBwF57ccobEREVFf62IyIiYMgQcet9w+4FSl5wpChwbBuWYcIB0JrK+k25P/x2\nAyw9Jo7PZoNv7xct6tn3QETdYnF1C4BCfYnEvox3Dbj++sIn8gJtVcWQchHYHDVhKK777oQtN1iX\nXKFU6b5W9HEqrKgKJW/K2l57AQMGAIMHi/v9+gVT4RIJsV1eDhxxhJgCx6bcRERURBgoEREVkUIF\nShg0SNx6FUkRFUrVDW14ee5qOA7w7CcrkM2KY+Ysq8X0le6qcYYRPDde+EMcEW09LnliDgCgpjmd\n95iX24yprwp2XnFF9Ink6WDu9nG7j0D/ktgWG6tHrlD6+bE7FzxO1xQYURVKutsVorQUOOMMIJkU\n9xMJUZXkbbvhUlbV0NaaBmprxWPvvLPZ74GIiKivY6BERFREcnvP+rxeR16A5PVQkqa51TenoTo2\nHAVQHRupVBYAoDoO0t4y4NmsaFALMFAi2saYERcQxZ3GVpFpC3bed1/0CbzgRlGCKWHdVMkjV1Md\nMnZwO8cpMNurUDJNESZ517VkMr9CCcCcda1YtGajf+38cv4yrG1Ibf4bISIi6sMYKBERFZXwB6dP\nlm3Ewx8tC759V1XxgUjuj2SagKpChQPNtgEo0BwbjiWmvymOjYzifpufzQYfGku4Qh/RtiSyebXr\nt9+5pOMTeCWSigLcdhtwySXAD3+4hUYXpqkFFiDIoasKTNuBk1u+6QVKlhX0SgKCEMlxQoFSi60i\nZllwe43jxc9W4cwHZgAffij6yhEREW2DGCgRERUR+TPTitpWnP3QJ7h16jei0eyppwInnSSmrEVU\nKKmOLSqUAGi2DdsQoZPm2OKDZiwmnnvEEcDAgaL3CBFt9c6ZuD0A4Fz31rdmDXDzzbjg0xcxvLkW\nOOig9k8kB0qVlcCDDwZh9hbW6UDJ7QFl5VZf5QZKqZQYvzfebDYUKBmqhphlorZF3NccG1WNaeCo\no4Bdd8Wtr32N26Z+vflvjIioiJmWnf8FAPUqBkpEREVE/h189J3vB3eSSeDFF4Fhw6IrlBQFmm2L\nyiQ3XHLcXkmq4yBr2SJQyoppcPIHLSLaulUkdSRjKvqX5vQ6uuUW4JZb8L/vPYLnnroOaG7Of7K8\nT2rK3d06mSdB18SBedP5vB5KliWuj44jrm9eoJROhwMlLQbdNrGxTYTxum0hZrn95Fpb8cJb8/D3\nj5Zv1nsiIipm731bjXE3vIG/vM1FX/oSBkpEREXEQQff6uh6dA8ld8qb6n4g1GwbthlULhmWLXom\neQ25vQ9a2azoz/T00934roioO2VN21/NLaSlJXx/48b8Y+QeSXJT7m7m9XbqiLcaXF6glNtDCQCW\nLwdWrRLbra2hqXCmpiFumf41VrNtjG5Y759u7r0/xHcWz+riuyEiKm6GZeP8KZ8BAB6dznC+L2Gg\nRERURKKa6obkBkpShZLqOFBtCw4UqI4FxzTgAG6g5E5586qSvOlvGzeKCoWrr+7W90VE3ce0CwRK\na9eG77e25h8jh0dyU+4eUp7Q233ca95tWjYypoWpX66DbTvhKW/eAgMvvQTcfbfY9gIlt1l3VtUR\ns03859tqAIDmWNhz3ZLQax27ZBZQU7OF3hkRUfG4553F/nbWiliZk3oNAyUioiKS1yckly4111YU\n8WHKrVBSHBu6Laa8aY5boQQRNL0xf50IkbwgyguUvIolbwodEW11TMtBTIsIgbx/3562tvxj5PBI\n7qHUAx796QF48+oj2j0mJk15e3HuWlz+1Fw8+emqcKCUSIhtOTBbsUIESm1tgOOgtmwgKlsbkGwV\nVVuabUND+EPPOV++BevZf22R90ZEVEzkVTPbWyCCeh4DJSKiIhK5PLYs5vZISaeDFd+kHkqiKbfY\nVrIGoIgKpdkr64MQCRDf6GezwQdMBkpEW62sZfuVPCG5gZId8a2x/Lwe7KEEAJMmDMOogaXtHqO5\nY6luymDe6gYAwOq6tiBcN83oQOnnPwcaGgDbhjVnLnauXQHNsTEoLXpG6baFfulwxVZai0H505/C\nzeyIiKhDL34erohlY+6+g4ESEVERKVQmbHuVS96HKDlQ8nooOQ5024LjhkhKNgNHUaHbblgkB0re\ntjsdxK9cIqKtjmk5iOvSn4wPPQQcfXTn/l3L4dHee4vbyy/fouPbHF5T7u/99SM889nq4AGvQmnq\n1GBbrsBqbATuuw8AYN90E05w+yOVZsU17/JPnkNFJhwofTp6D6irVwF//Ws3vBMiouLRmDI6Poh6\nBAMlIqIiYhYIlCwnJ1BKpcS0FMMQHxrdKW/eKm+aY0MxsnBUBXEzJ0TytuUKJX6TRLTVMizbb14N\nALjkEuCDD4Arruj4yfL0tmHDxLXglFO2/CC7KGoqn+NIPZSuuSZYVMCrUNI0oKrK761kmkEFZnk2\nmJYRs8zQMgjrygeLjauvBr75Zou9ByKi3nLXWwsx6a73e/x1m9P8orKvYKBERFREQlUGkumLa8WG\nN+UtlRIfmkxThESqCs2xodo2bHfK29oNjXBUDQkri4Glsfwpb+vWAS++KO4PG9bN74yIosxZWYcf\nP/ppwTB4UOCbAAAgAElEQVS5MwzLge415a6rCx445xzgyivbf3IPNuDuCjVifKvkKW+AqFICgkCp\n1J1GV1YGAHDaghCpItMGyz1n3DLgSOcx5HN++CGwWqqIIiLaCt37nyVYVhOxIMMWlrvAAiuU+g4G\nSkREReS20/YEAOw2ol9o/8VPzBYbXq8Qd5obDEMsDR6Pu025LTiKCtWxoZkGDIgKpX2XzQOamoCX\nXw4+QC5YANx1F7DffsB22/XUWyQiyVVPz8OHi2pQ1ZDu8jkMy0bcq+S59dbggVdf3eqrD8cOKc/b\nN291Q1ChJGtqErdeoORWKClNjf4h/TKtsHQRzFdk22CrwXn2XrcoONellwI77riZoyciKg6KApyx\n3yj/flNuoNTYCKxZ08OjIoCBEhFRUaksT+DInYfAzvkQmIy5H3qSyWCn10OpuVkESrYjmnK7Dbpj\nlgkDKhKWgUcfv1aseuSRm/MmEtGrPxFRt9sSBUKmbQcVSh9+GDxw9tnA4sXRT9pKbD84v2l3Y8rw\nw6KQ+npxW1Iibt0AXvWCJgAVmVaobqVnv3QrbC34Vn3PDcvC57Os/MbmRESUx7QcDCqL4fWrxMqd\nTemca+duuwGjR/fCyIiBEhFRkVGQ35zbD5S8CiUgmPLW1ATE49BsSzTgVhWojo2YbcJStaCHkkz+\nMJZIBM2577kHWLYs/3gi6lYZs+srLRqmE/QaevFFYIcdggcbGvKfEBXG9FFlcT1vn2E5QRWSbO5c\nces95l4vNalCqSLT5k9zK8+2odXpINFr7f6pIkRE3a27V13zvtjoVyKur3lT3qqqgu2pU4G33+7W\n8VCAgRIRUZFRFPFNjywZc38d5AZK3kptiQRitgXVsVGWjEFzLMQtE6aqImFlMXP7PdGYKAs/1+P1\nVmppEc1oDz+8G98dEdm2k/fHfcrID5QaUwbGXDcVr31ZFfnYTS9/hVTWgmHbiGmq+IN99Gjg2muD\nA9MRU+kGDcrfd9ppm/w+eoKm5gc+lu3AKokIlDxffy1u3eulXh/0lSoxM9Dc/aXZNCy1wJ/a3s+j\npWXTB01E1Me0Zi289PnaLgdL//f2Ipz90MyCj5u2A11V0L9EVIC220PplluAv/ylS+MoyLZFxT7l\nYaBERFRkVEXJa9C763C3p5I85S0WC5py6zp000C55kDRdeiWBc22YCka4paJEiMDS5F+pcgfouRg\nChDNuomoWxiWjZ1+8zr+NG0hMqaFNfXi310qmx8ozVstqov++cnKvMfue28J/jFzJZ6fsxqGZeOE\n954HRo4Uq5PJgbEd0ey7f//w/fp64Nlnu/6mutkeI/vl7TOTJR0+z7QdGGp+ryW1phqAWPHNVCJ6\nMQHBz5AfUIhoG3DHG9/i6mfn4f2FNV16/j3vLsYny+qQNfN/p1i2A8cBdFVFeUKHqgB/eP1bjLlu\nKmYu3Zh/sn79gp53W8qvfiXOm0p1fGyRYaBERFRkxJS38DdIpu3eHzgw2OkFQYYBxGLQLBOqbUPR\ndSTNLGK2CVPVELcMJMwsTPmDldy4xQum+EuYqNtl3D/G/zFjBRZvCKpfoiqUFm8QYYb3ja+sNSOW\nZP7flxfgm3XNOOGtp8UDjY3hFdDMiKWbS3LCmAEDghUk+6BBZYm8fdmBEVVWuccYJjJ64el9u1cv\ngxUROAEIQnf2lyOibcBTn64CAFQ3d30BCABoy+b/TjHcL0F1TYGiKOgn/c6avqQGeOWV4OCpU8W0\n5E4EStMX1+LgP7wbfs2NG8XfsG+8ET74scfELf+WzcNAiYioyCiKmIsu86sXDjww2BmPizDJNIFY\nTPRNMkW1UtLMQLNtv4dSRaYVlly1IFcoeVPe+MGJqNt50w0URfH/CAeAdESgdOvUbwBATGfLPY+0\nbVsWhtSshXvicIVSVFPp3ECpj7MiqqyMAYOCqW2FnldWgfKs+HDx3B6TggeGDPE3RzbX+tuf7S8d\n44Xuv/lNF0ZMRNS3WO4Xk20R1bCboiWTHyh559bdKcqlseB30Ha6DZxySnDwiScCCxeKLz86cMeb\n32J9UxqfLJOqnD79VNzec0/4YO/3RNSXKEWOgRIRUdFRYOSUFM/0fpkqivimZ9IkoLIS2VQajluh\nBABxM+tXKOm2BVPVMK5uDUY11YQ/gcoVSrlT3oio23jFhgqkykOICqUbXpyPW1/LD0le+3Idvlob\n/uNbrloa2VgdPGCa4QqlTCbYPuoo4N57xdTZAw8E1q/frPfSUwwrv+eHYdnArrv691v22T94cMoU\nAEB2cKW/q75Emub3859Hvs6//vt3+TvfemvTBktE1Ifl9ujcVF4g1ZIx/S9IvHPqEV9+DGyKmPKW\nzYrfTR2sornH2oWYUL0cP5syO9jp9bWrqAgf7AVK8u88AsBAiYio6KhK9Acov8HhSScB774LVFTg\nyyUboNi2HyglMykgHsd2CSABOzTNTXWkkErN6adUXw88/HC3vB8iCnjf5DZnzFDfpLRh48lZq/Dw\n9OWRz7v5lQWh+3Kv6kEpaeqAaYYrlMaMEbf9+onKnCuuEP2S3nwTGDZss95LT7Hs/Ouh38dD14Gh\nQ7Hs/seCB90KLEd6Xmu8BLbXyHv77SNfJ1EmNfqWQ/eoPlRERFshM+J6uinasha+Xd+EPW6ehle+\nqMJ5D8/Cif/vIwDAhiYxna6qMZhWZ2Wy+SeJx4HqanF71lnAlVdGvtbtd1yINx+70q98AhAESmVl\n4YO967QXVklT6i59Yg4uf3LuJr7TbQcDJSKiIqMogBHxASZvWfF4HKVG2t8G3ECptBSxTNqvUPJk\nNalHSm6FEgDcfz8weTKw445b5H0QUT55OmtNc/BN6sL1QfPnqFV4WqVpBqZl4773lvr3+6ellchy\nA6WxY4GGBhGieK89ZEj0Sm99lLdIwZn7j8Itp+wu9rkfipqqN+KN1z5BKimFQd7iBbaFF3c7GgDQ\nkiiF4oXqBYK0ErlXk/z/QNO2qp8XEVEhhrXpAbn8nKxpY+5KsWDEz5+Zh+lLarG6TlS4v7Ugv+q1\nrTWiZ5P8N+jXXwNz57Y7BW7CiIrgCxivPUNpzkqfcoXShRcC++7rP/TmgvWYOr94F5xhoEREVGQU\nKKHPMgNKRRCUzub8EZBIoMQLlOSGuuXlQCoF1TJDKxwZmjQNRv5lLlcrVVR0WIJMRF0nZ8UZaWrr\nlBkr/O2Gtvx/g3LT7urmcEl/3JKOz53ylkqJVd1UFbA2r3dGb/He++Q9hvtT/byqpV+/tgiX/ftr\nLKqXfgbe9dC0oNviuUfuO0ZUcwLh1TIl8ViBBt2AqOIkItrKdaWHUks6+ELDsGxsbImeVvbTQ8f4\n2w++eBuu+fAJPPHRkvZPruvAjBlicQhAhPk5X6quWlqFU+6bLu6k3b97c6/j3h/O2ayoUo1o4/DO\n1xvaH8s2ioESEVGRUXOu/CXuh5x0ToVSGzSUGu4vdbnJblkZkMlAsW2YUohkFVrlTa5miMeB1tbN\nGj8RFSZXKGVzqw5dre6KNuWJ4N9va8Y91nEwbOQQnD/7ZYxsrMaKO07EXusWSy+QU6HkfZuraVvt\n1K317vSJXYZXQHcvkF6gtKBKTGv4piGYVrGg2r2GmQYc91q3w0ipwqhAoKQpCm4/+qftHkNEtDWL\nWqWtI03pILDPWjbWNkT33Dxln5H+9uRFM3HlzGf9UD+k0Jea6TRwyCHAoYeGDu+XbsGiDS244qm5\nQY+kZBJYvFj00qupAZ55xh1g4UBpVV1xLj7DQImIqMgoUEL3y9wPlWc8MAOLNgTTYtoUDSVZ95sa\nufRXCpdKjOBbJEuRfqUU+mWeSHC1N6JuJPcDypjRAU/aEPttqVTR/xDQ2AitrRU3/OcRnLBoJgBg\n/7XfSC9g+VNgAQA77yxut+IKpXvO3hfnHzYGowaWwuv56v0ch1SIaWofLQlWa5u5UkydUCwLjns9\nLYnrwXUvEUxt++NRP/W3NVXF3w76PpwddxQ/q3ffFQ985zvAwIHd8db6jLasicaIyjgi2rZErdLW\nkbrWILDPmoUDpZK4WORl3rKn/H3n1MzPP/Ab6XeW/DdoKgXMmiX+k37/lRgZHLZiHmZPnx9UKCUS\nwJ//DHz7LfDii8BIN8xas0aETRGBkh0xnbwYMFAiIio24TwJZXFRbdCcNvFbqTGvFYv7S2L7zWaB\n0Dfre1QvC47PLX3yX096wWRSfPuzlX7wJOrr5EDJC45ypd0pXvJqPP40haoqAMDGsgGYUCMaeCcr\nBwdP/vRTMe3Vc+ed4nYrrlA6ZsJQ3HyS6J2k5VQojRwgAvRU1sbj+/0XLjr9RqwbswsAYPGPL4Xp\nHl+qK8EHFylwe2qfyf62v0BRLCYqvbyG5vH4Nr8K5jF3vo+9b+GKdkTburZMxN93d9wB/P73BZ9z\n2v0z/O3GNgMfLQ4C/NP3FUFOWVxDMqYBM2ZgwHNBoPSDN6e0PyD5b1AzCLsy6eAL0aSZxZPP3ohX\n/vELGN5+RRHVSIC4Rrv9P5fN+xaz1rWJv2VtO9STsCIpTQcvIgyUiIiKjKqEE6XSePALcMbSjahu\nFt/OGMkSqBC/KNNl0gdIqVqpIRnst5VOBEpedVNzc/SxRLRZ5ECpzYj+pjhjWnAcB1mpEWrMMsQf\n224vn5Z4Cc6a/w4A4IBxQ4In33Yb8MUXwC9/CSyReldsxRVKMm+1H8v9kOCt9taYyuLm4y7D2+MP\nRlt5P8Bx8Nywvf2pvmUqgqmAUoVSVpoW7IVVjqaLXnJeLypNE9+Kb6WBXGdsaOJS20TFQJ6+5rvu\nOuCmmzr1/Gk5jbcTbluGv/3oALGjnebakaS/QdNtQQPv+sYgxO+XEQtPDG2tx/J1oiE4TDMcKLnX\n9ac/Wor3Vonjm1at83+Pnnfw9vjBgdErfG7rGCgRERWZnAIlf8qb54+vfwsAyJZW+PtaE9LyqdJS\nquWXXuhvh3oo5a5g5PHmpt94o/glf9ddmzZ4ImqXvGSzt2pNXAv/uTdreZ0fPF05aRwqy+NYfOdp\nMPfZV6zYBqBNl1Yky20YvXix+Lc7dmywbyuuUJKpXqDkvhdv2qAhVXPtMFhcA/89d42/0qVqW5GB\n0sMXHgbccANw551+hZITcwMlr7m397wMQxci2rp9s64pciXRzsr9m/Q335uApy46CIe/+TQwc2bn\nvriQ2zRIgdLvX/zC3/7g6yp/e3BbEFLN8PZbVhAoxWJ+5WnMNtGcEOd/9clpeO/bagDAniP7dzyu\nbRQDJSKiIpP7a740Hl55yJv/bki/kBsT0i/niiBo0gcHU2EWVRb4ZkauUKqrE7f33Sdub7ihc4Mm\nok6RK5Q2un0pKsvjoWNW17X5QUlFUscFh+8EANAXfOV/+6vmhsLSEsn+H9my998H3tr6pzT5FUpu\nNpY28j+89EsGq176QbolBUrSlLfDdx0O3HorcM01QYWSHsuvUAKKIlDanA+aRNT31bcZfkXi9MW1\n+HxVOytYzs/vf1TjrjJakdQxdkgZKpIxHHrrr4GrrhLNtGtr856TR/5yQ/pC5KtVdf72ba985W8f\nNDi4psctt7JXrlCSAqW4ZWDBMPFlytvzVuEfM1cCAE7YfXjH49pGMVAiIioyr35RFbpflggHSt+s\nF6saNY0a4++rj0UHSnIvlRUDt+v4xSdNCt8v1HeJiLpErlCqacpAUxWkpebce43qjwVVTf5KbyUx\nDeOHSBWIbg+l3d3+SQBE0+ipU4P7Sm6dI0Q4sg38e/amBJs5FUoyeSW95/c4VmwcdxzgBexRPx8A\nmrdb18WHFS9Q8o5Pp4Gf/xx46KHNexN92CPTl3d8EBFtlTQ3kD/49neR+Wg6Prz4f0L9kWCawPnn\nAwsWAM8/D+y1F/D884jrKi45ckcMLotj5rKNAICnLzoY715ztHjelCnBOS6+uOOByIGStK2ZwXQ8\neXW4eDaYCjeyVA3G6vVcUlWcP+UzZFUdcctAVhMBVMIyUNWQwuCyOAaUhr+4KSZb/29+Ivr/7J13\nmBvF+ce/21Su+nzuveGKKcYQOjh0ML1DIIQSSiCEAIEQCIFQQw0BfoQeBwIh9GJ6x5hiim1wwb3b\nd/Z16aStvz9mZ2d2tdLpzne+ovk8zz1arfZWK612duY73/d9BYKtIq757cVNKXIDXb/XNG/dSnCC\nUjln6+UEJT5XiC/kjR9kTprkf3O1MBMYCgQdBb1+AeCrlTWoKNJ8FXQMy8G8tfU4/ZEvAQAxTcEB\no3uxHVx5ZeZOTdN/3ffg61Z1VR86BgkTlPjwt7mDxmFFdROw3XbA228Dd98N9OkTum862LLVQMgb\nbSNTKeC++4Dzz2+nT9P1uOmNhS1vJBAIuiXb9WN9wui+++Caj54g4cCU+fOJOHTaaURUAuDMnYtJ\nqxbgj0dMwrH6GpSlmnDivHcQUbdCpuAFJU7gP2X2S96ywh3XvsPYcauGe7/kC8iYJj5cXA1DUTGs\nbhNKUySHUsQ0sHJLEsfsNIhMxpx8MrBsWduPu5vSc3sEAoFAIMiLmOa/adPKULoSwRkn3YiDlnyJ\nR1N9cSLdgC9vXVbmLZpyFkGJn623LJJ3hd5wuf8XCARbT32zPyHq5iYmJo2oLEJTmry+pIp0iIsi\nKqREIvdOTZMl1Af813cPI9OhlBny9uCHS/HX1xd4z4f1dgX3kSOByy7Luu+sIW+0jbzppq09/C7D\nE7NWYEBZDIdNHggAkCXA7rk/G4FAAGC7/qVYtNFfdIVWCwbAqlkWFXmhvo5p4ZgFHwIAtl+9ENM+\nfgd7rZqHtWvOAz5fktXxmZMs96jxaxd7y5rNJl/6q2x7RXdDj6uqfIISEIUtSZi+6FNMX/QpAOAf\nr92BNb0G4KDn3waO+gd77+eea/0xd2OEoCQQCAQFTp+SqO95s2EhqZswbQefjpyCT0dOAZq4alH8\n7DsX/mZkcygFrccnnQTccQcwZQrQi3NGCASCraYxrMKOy8NnTsWvZ8zxnhenk6hI1AJNxVn/BwDp\nTPOdeiP7e3R3aA4l23Fw5uNfYXl1pthGc1ONqCzCpEHlnvOoJXxJuVPJTEHpsce27uC7EDe8RgS3\nlbcdAQAojWkZYqdAIOhZlEQzpQXq5gEAJJPkMR73nJm2ZaHc3cboXYnJG0j1UC0aAY47rm0Hwifu\n5vqggxqqveXhJdyxvvuut9hnywaysGEDy2/n3vNKeXHM5eV/X+5fMXcu6QO3RQjrpoiQN4FAIChw\nDpzQP2Nds27BtLJUbOIScaN3b2/R4B1KWeLXYVkkzMM0yX5qWIJEQThnPPYlbn1ThIkI8iMsRIsS\n1xRcfyQLO33nsd9gzz0nAU1NWf8HAMsjsW4deQxLyt1DoOKQaTn45KfqnNumTdurCpfBu++y4gPe\nvl2HkuzmUKKDFb4S5rHHZoYGdzOCibeTugmbW2cJq5JA0CMpjWUKSmVpJspv2kxydCIa9do9y7Kg\nuv1EJaKhyCD5jMoi7STImGxCNGqye9ewEq7d/fJLb3HMuqXA9tsDn30GfPxxxj5a5LPPCkpMAoSg\nJBAIBAXNp3+YhsqSzESCluP48oT44PImoT8To7I6lIJuJZo3pHdvLwGwIDufLtmMf368vLMPQ9BN\nMAJC8DPn7e4ta4qMaeP7ec8HN7qCCRfy1qyGJBalnelBg0hYVw92KCmcQ6klUobFEm0HOfBA4KKL\nAvsmj7bm5lCSJDKo0liFIRQX+85Hd2J9HZm9T+jMHTBvbR0m/vltNHK5vT5flkeVJoFA0O0oDXEo\n9TaYq+futxcBcO9TVGA3LS+fkRLRoDrkHhbP2ri2Ek4MUrgJzv7pxrCtCcH23zRD3VcZHHoo0Ldv\na4+w2yMEJYFAICgwHj9rqresyFJouIZlO75KRgCQogPNYi48hkvUa8rcbI+dxSVh2yzMY/vtiaCU\nTwnYAmVpVY4OTws8/tkK3DpTOJsKjaAQPGEgC0vVsnXQaRgCAM0y8c/dAmEGH37IrulIpDAcSiEu\nmj8cOs73PKdDKXTfbogHzaEE+N1JQLcVlG57cxH2vO0DvDFvgy/s8qj7Z2VsKwxKAkHPZMyCr3HR\nbH/+oAqd3V/MFMlPxDcBNiSv4pqmce3hL3/ZPgfFCUp8ZbdfPH1n1n9Zpgfa5c2bMyZrMhgwAHjz\nzTYdYndHCEoCgUBQYAypYBXbVFnyOXN3H0VC2Ewr06H04qSfk4WyMmDFCmD2bF8OJV3lZtl5QamI\nqxBnWUxQGjaMPK5a1fYP08NZU5sZr58vN76+AP/8hDibbNsJTS4s6HkEQ1X5SjmqkqXbx4Weqo6N\nRCSOxhjnRPziCxa+VSCC0rKqTFHn7L1G+p4Th1IrBCV3W0dRmaCkqv5CB7reLQWlhz4mhRa+XlmD\nhubc4SG2UJQEgh5B8Fo+7Len4w+fzPCt05IspFqxSNvQ1Gx4Qo+tKJ5DKcK3p610sG/uOyh0vcPl\nU1Icttxv1dLQ7dOKhjf7jPeeG1oE1qpV/nDyt9/2Fm/4+XlkYePGVh1vT0IISgKBQFBg8BPqiix5\nVY0AYPwAUnXNsh2YAUHpuoMvBNauJTPoI0YAu+/uKx+eVrhQGT4h4tChbJkPeaPuprq6rfo8PZn6\nJBl09irSWtgyO5btYOy1b3pl4gU9GyPQwY9wIlJWh9Lxx/ue6oqGiOT43YgL3KpmNAdaD4WKPo99\nlhlmqgUEOdsB1FaEZVCxyopGSUlqgDiU+PAKVSWOsW5aSS9t2lheHZ6Tq7KY3COa0j339yMQFBJh\nTk4AvvariEtknUqRyYj56+phum3gki3NUNwwN03m9sfff7jJy2zc8+fwogamzhyTCndcL9/0MPDg\ng2EHj2aVFasxHUBvCkzuTZzoLT6z0yEtHltPRwhKAoFAUGBInICkyrJPUKJuBtN2YAXC1qZNGggM\nHpx1v2k+90rQofTVV2SZdyjRUA86sBJkUJskna/iSOuKsn6xfIu3PPqamTBtB3NW1bbrsQm6JkFb\nvqrInoisyjJgGNhhw0+596GomPnX/wNmcDPNbrgWvv4aePXV9jzkLgUVfRpSmaJHWHiw3BqHEs3P\nFIkBKZJ4FqpK2sU77iDP43HyuGUL0K8fcNddrTj6zueZr1bjwqe/DX3t9J8RV2ownFogEHRPsiXY\nj5msXxezmKNV4yYbt9QSJ+aHy+s8h1KUb075/maOfuL9u5+I6b+8FzN/Ci/ywjuUeBr6DgAuvDBj\nvWLbSGlEUPp45BRsLuqF+L+fxP7LvsZX191JiiYMHgy89x6+ueMhpLRY1mMrFISgJBAIBAUGPwBS\nFMnnWIp6gpINw3Z8joaHfrFL+A4ffRR47jmk+ZA3/gZuWUw84nMo0QEqHVgJMqhzHUrr6loX+rZy\nc/cLmRG0D2HVGW87fgf0K42S6/naa/HqjN9jwqZlbIO99vJtrysqNu+6FynZfOutZCUNy5J7dtcx\nTDRqr+1V3qFE2z1FIY4vWtmNCkqpFFBb221yzO0wpDzn67/9+RictCtxqxpm93RfCQQCP9nE4b5N\nbAIrajKHkGqRZclx8MJXKwEAliR7uY18hd14sf7hh/1vcOih3mJDrAQ/DBiDRMRNr8AXjgF8E5y8\n80hLuE7KQw4hrnvXPS9L5B4IAOvK+kF3J0uffP4GbD7xNOCHH8ixHXAAdrnifKy87Qjg5ZfZxGkB\n0rN7BQKBQCDIQPE5lCSfY4mGx9z3/hJsrE8RRwPdNlv+lXPOAU48MbtDyWbVPHwhb8KhlJOUYWHx\nRpaUe3NT/t9TWbztIXKC7k1YdcaTpg7FV8cNhmRZwPvvAwB6NzewDWL+Gda0EkFUc6/Zq68uqBLI\naisFpdY4lGgCbysS8QtKlkVyUwHsXNTUkLDg+vpWHU9nURbL3eYcPGmAd38xhENJIOgRZHMoDWpg\nQnjU5BxKNnF+OpIE1Z14lOCgwr0fjVS4/Hx8O3HUUcAvfsGeP/UUsHIl2aebl0lXNSyYNRd4+mlv\ns7pYCSRuP0/tdCgWnX8ZOUbNXf/WW8BuuwGjRgGnn45vH30Oshsa50iAzbXxFUUhVVAB4OijgV13\nDX+tABCCkkAgEBQY/PgnOLsecytszJy/ES99t65V+UHSSg6HEhWUwkLeUilyULffnvd7FQLnzZiD\nt35kSR5XbcnfdZTUMy3eFVuRh0nQfeAThxZF3Gvsp59IzofrrweayKzsVfsOY/+USPgahvp4iedW\nBEBcMwXiJGxN1TYgM8QwF55DKRIjriTTJO2haQJRd+acOpSmTSOCUkNDlr11LXQz9/cQ02RvUsJo\nYVuBQNA9yJZDqchgrmpeUIq44o/kOJ64JDsOBiSIo6niCc6JxOeRMwz/PUiWSWGXN99Ev/NYNThn\nxHAvb+cFx1yND0bv6qsoN3l0f4w773QAwL5DuBxNTU0kT9NTT6Fpz33w/cCxAIBvBk/wxCUA2H5w\nWbavoqARgpJAIBAUGPyAKVihKKb5bwuaIuOvx2yfUS47DBpzDoBVMALILFOukDc6YLr66vw+QA/E\nsh28/N0632zfp0v8oS4pI79B2OamNK7431zfuj4lUZ8TTdBzaUgZKHaFJE9QWrKEPH73nVdBbIde\nXF6uZBLo1ct7WhMvQ1TlyibzSaR7OEGH0rVHTMi5/cpWCL3UzWRS8SiVynQoUUGppoYMcGj7eM01\nwE035f1e25p0QFjbY1Sl73lUVbwQam8Q2tTULSvaCQQCoCahY+pN74W+Vswl4j5iO3ZvUW2TWyYT\nX7JjI0bXL+Uqr/GCkmn6+5XpNJkEOfRQ/PKMA/z/MmAAAKBvog62qiERL8EXl1yLpkgcO/eNQ3Ir\nD0vNXCqBK64AbrgBAFBZHMXcQePws4uedKsbs+MobcGJWagIQUkgEAgKDF5ECs7GU4cSRZUlnLH7\ncFy0/5gW99sUibMn/I0/m0OJPlZV5X/wPZSXvluH3/33ezwxa0XGa7QyUr5OiPnrMkNkpu8wMDS3\njoTf0+kAACAASURBVKBnsaUpjWVVTd51HKeCEg2bKisDaCf6rbfYP+o6ec2lKVrkdygVkKAUbBPH\nDfBXF3rxoj1x8lRWuXLRhkbkC3V8mlG3rUwkWFJuKihxwh6Kitj5uvVW4Lrr8n6vbU3a8Lsin/n1\n7jhoYn/veWlMZVXy6t3KnqWlJN+JqPQpEHQ71tYmveWgc6dIZ26iqM7uHREunxJdlhyHCU18BVE+\n5E3XyR8lcD86dTfiuNUtG2ujZUirEeyk16CyohiSbWPW9F8grWjQzDRpVwHWtgLEEXr44QCAyUPK\n8et9R2FTaR9AkiB104qb2xIhKAkEAkGBkSuiozjqryYWLJOdi6SWRVAK5lCibqWSEqBvX1aOvEBx\nHAd3vbMYAHw5kyij+5IEk2G5ccKoTxoZ6xRZCs91MGuWv9Mm6NbsctN7WLSxERMHlWHfsX1x78k7\nkRca3d9VaSkLG3jjDfaPhuETlNJKxJ8zrYAEpaBDSZVlvHjRnnjw9CkAgCnDKnDcFFZ9aPvBuZNR\n81CHkhHjBCWalJvmlovFgDFjgBNOIGWzEwl/e9oFqWpIYdHGRhy54yAURxRvcPnImVO9bUqiRFB6\n+tlrcO6RuwAffsh2sHQpcMstwMcfb+tDFwgEbYRPmXD2XiNJcmqXYoMJShoX8kbXW7KMqFv9bWTN\nOihhbRwv5FRXA1deyZ4H7kdHTB4IADAtB3v/7SPsd97D+MNupwOqBsk0sakhBVOLQk6nmQu0OXux\nkzN2Hw4AuPW4yVm3ETCEoCQQCAQFRq7Qp16BPDtJPbN0djZ0vsrbjz+yZd6hxItLjgP07k2e04od\nSTbjVSgkdQsb6lPeMuBPdKmp7iA0T4dRc8Ap8OqrN+L4v10OKzjLNmsWsPfewM03t/XQBV2U3sUR\nzDh7N+wyvDdZQTvffHWxA1iYAEyTiE0uuqrB10rEYgUjKAWTbKuKhCnDKnC4O2ABAI1zb91/2s55\n75uKVWY8xKFEhXbLIkKSrpOZ9GSStJH8+epi3DJzIQDgi+Vb8NGV0/D0ubt7r43tTwRxVZGhyBL2\nWjWPvMDfI5YtA/70J2D//dv0/k1pEze9vqBV9yuBQLB18EVbgvk4izhBSeZyH8UNch9RbBs79yXt\n4BFqFofiKaew5d12Iy6i558nzwM5/Wg4bcrt/2ws6wNLVlBvAopl4rk5a2FrGmlX8xCUhvYuwo83\nHIJTdxsGU+YmWgvkPthahKAkEAgEBUYuh1KfkqjveW2I2yUX5x97TebKYA4lXlyKx8ns+1FHkXWN\n+YeP9BRqEpyN2z03aZOJQl5lpDwFpWBy3FFmAxTbIiJVQwNzO9AwKFoWXtBjKA9W+aOhAtEoS5jP\nCychDiWfrjJgABE5CoBMh1Jmg6lxA6nW5NSggy4jGuJQ4gWlaJQJSnSbffdlr3cxIq7AVlGkoW9p\n1Pf7+98Fe+L9y/fL/Ce+et0DD7DlNrix/j17FR79bAWemLUSP21qRCIthCWBoKPh7xGaIvvczhPL\nuDbSYdfjSLfpG90rguFFZAdKEedu5xk8GHjlFf86WgUzIChRR+097/3krTt1t6HYojvQLNKmOLRd\npeHFfAhdCNSxP7wPd+/rJlU3tzVCUBIIBIICIziTxNO/NJb1tXx4e+ye+PCpmX7XSzaHkmWxGXg+\nSW2BUd+cOYDiE3BrnqCUX8gbLzyt/P2uKGluglFUQhLhlpcDp55KXqSOlByzdILuA58jKx7IheZ1\nnCNcyWP+vJumX1BSNb+g9NFHwGOPtd/BdmGC7ePofiUZ27Sm+mXYvpMDBpPZ9/JyVuWNF5RSKeDb\nb1n7CLC8H3V1wFVXAa+/3qZj6Aiow/KKgzOLN5THNYwuUYBLLgEWLmQvrF9PHi+9FJg+na3/4AMi\nMM2enff7U0FrfV0zDr7nE8w87bdkskLkPhEIOgyT65PENNnn3jliNAsFlt9601t23Cqjg0s0dg9S\nOQdQnBOX0mn/PQtgfcWAU4g6lL5bzdxOhuUgpUYQtUxIjo14cbxVgpL3lnw+wRtvzOt/Cg0hKAkE\nAkGBkSvkrSSmYnCvLLNFebJxu0mkYttVV5EVQUGJdyvRpLNZOgmFQDqkhHaKC1uj4TX5OpTo/nZc\nvxjo3x9YuxZGUTEmbnCrp7zwAnnsgk4HQdt59us13nJG7jPq+uA75/y1Zpq+jnxajUBC20ST7k6w\nfSwLcSBpWyko1Y0aCzzzDDBhAjknhsEGVaYJzJtHihUUFzNBadAg8rhmDfDII11KUKIVKfcc0yd8\ngxdeAO6/n/xRamoAAI/vPB1phRtQzpwJXHwxc2TlAXWRpTeSAg+ra5JElEuniXB1zjmkopxAIGg3\nTM6RFFMV/4RglvQFJTQULp0mExUA8PnnbANFAQ48kCynUiy3HIUPF+YIFpQBSJ+pSSH3vIs//y8i\nRTFWHQ4AHnwwvxySe+3Flhctann7AkQISgKBQFBg5Ap5U2QJlSWR7BvkQU1CJwLSbbex/CBhDiUa\n8pZMMhtzAQpKwRA1wC8olacSuH3m3+G45cPX1CRRm8g+s0aFpx02LvHW9Vu+CG/863eBN85vdk7Q\nPeAFxwwHDb2ueEHJMNi1SJNCR6OwIxEgGsFOQ3uhUPnkymk5X6e5Q3K5PcOg+Zl8CfIjEXJ+eIcS\nJR5nA6eRI8ljVRUwfjywhF3fXYVItiIOdODIi3Vudc9/fFOF72b/SCYVysuZc8nMP2ytKW3iik9m\n4M9XHAfNMqBr7gRFXR1w0knA449j01sftPLTCASCXJhcOxZR/Q4luP2VIEVpV2jKVtnx3HNJPjWA\nCErBNAhDhpDHNWt8q4MFZQDg6J0GYbvhfQEA/ZtqIMei/n5PdTXw3HPhx8Fz330kd9NttwEvvtjy\n9gWIEJQEAoGgwOATKYYRTErbWuqS3A27JUFJ08jAoYBD3oLOo6rGlC/k7eBXHsPJ89/FqFeeBQDs\n87cPsctN74YKUfz+Ltp9iLcumgiZne/ilaMErYPP9XPszoP9L4aFvBkGy4tkWeRaLC+H/KtfYfHN\nR6CieOuE5e5MSyFtFUXkuzlrzxGt2i8VoGw+FKu2llQ820xcPrAs4IoryHIsRs6TYbCZel0nOa02\nbWrVe28Lsjq31q4lj3ybs3IlACARKUK8voZU/CwqAlasIK+X+cuQh+I4wH/+g2R9Ixb3GY6yZAMu\n+OJ5DKwnYhUuugi46SYAwFX//bYNn0ggEGSDF8YNy/H337IIRkVpN8wtmzNo4EBg0iSynEoxoR0g\nbeOQIcAOO2Q4l0oiTFA6YZchWHnbEfj5+P44auehAABHkqAEBSWAtL8tEY0Cxx9PXPf5tEsFiBCU\nBAKBoMCIqLmb/raGc7zyG2IL5sUQL+FsNkGJvs6HvF1xBXDnnW06hu4ILwwt3tiI3W5+H0/MWuGt\nU1zruC6rwP3345OHzoFm6Hj8vOuBZ5/N2N/cNfWQJGBgjJ1HvmyvZxkPdqxWr2buAEG3ZnhlIIE2\nzVVBB/YAGdzTvDzUocTn7ClgMkIGA5QXaZj/l4Nx7RETWrVfxRXrfWOp5cv9j3TQBLB2sanJn/ej\nXz/P4dOVyBpOTcUvd8D54KlXAqNHAyAVBfuvWgIMHUp+fzTpLVd1MIO77wYeegj4+GPg9NNx5bFT\nUFNEcrZc/tnTGEWjN2fNIt8VgBJd5IoTCNoTPodSRJX9efmyFFjpU+u2BcuWhe+Ud6ynUiS/2tix\n5Dl1cs6dC5x1lu/fiqNMeBpSwcK3aXdXchyosWimCz6fkDdBiwhBSSAQCAqMlsI0ehW1zZmw49Be\nGFge84Vr5XQoWRZ7nXYgtmwB7roLuPLKNh1Dd4R3KK2rJR2yV+cyYafEJrP6uhYFLrkEw+o3YVBD\nNS548iaWYNulqjGFz5ZuJrlouY6TYnLOgIkT3TcOOJSGDydVVQTdkpzph2lHn+/kmyYTlHSdzLze\nfjsJOShwsoZucZTGtJz56MKgm1u8Q4kuU6G3vp7NvlNBqb7eLyj16tVlqg057vHnzL1HXQCuoDTH\nLsGqTfVYvN2OAIDyzZuAyZPJ5964kWybreKnrgOXXw5ceCFxdoXgtajNzUAJSapeLAQlgaBd2dTA\nHEm7DK/w5zUK5DiilCTCQ+EAEMdsYyO5L8VixMUoScRpCORMiaBybbavymNFBdm13gw5GgW+/pq5\nQQGRuL+dEIKSQCAQCKDKkhcmc9puw9q8n6gqI2XmcChZlj8pN61wRAe2bhiE93oBoHOCEtX6aGLt\ns/caicn9yXejy4r3PfVv2sJ2wAlDDfUJ3PHGvdhz5fe+zpfvZq/rwD//6XcoffNN+3wYQadh5qoC\nGOY6siwmYjgOESlOOqlVyZB7KkVRBX1Lozhn75Htul8q5jv8IIa2c/RcXHstm72ng7I//9kvKJWX\nk8cuECJM86icsuvQ7BtRQcltk5olFTXV9WhUiGCmppvJYDIeZ8mzGxrI73b1avL7XLGCfDerVrH9\nvvGGt7i2vJ+3/PaeR5KFffbBkgYyuIyaOlY/MgM4+GAR7isQtAO/++/3/hX8fSaRYII4wMKrc1FW\nRq57RQHGjAHWrSPrqcCe53V7wIT+7Mlxx+Glifvjrn3PAL77jqw75xz2eoH0MzsaISgJBAKBAEtv\nORz3nLwTAGDa+H5Ycevh+PjK/fH51T9v1X5WbkniNc5d02IOJSoo0c5G377AHXeQZX4G/o03yEzz\n94EOTA+Ar/KW0P2V187cY7iXG+e9BRu97y5ucDN13GybvXwFTvzhPVz98ZO+wabscJ2m+fOBCy7w\nD0bzSUwp6NLouaoAUocSLyKaJhEp6PXYq3CTcAfRFBlf/+lAXDd9YrvulyXl5lZScYmK6oDfmQQA\nb72VKSgBJE/Jhx92auUhKmSq2VxdjsMS9LqCkqGoiFo6mmUVcBwoqWby+ceNI9v1dweEL71EnJNP\nPAGMGgXcfDNwwgls3/fc4y2uqhiEH/qPxrwBY/DjoLGkKt7Agbjq9cUAgIhlkAHqu+9mTRgsEAjy\nZ/yAQFgqFcBPOomI4q47EABw9NHZd3TggcB//0vCXKkzUdMyq5PmWUhktxG92ZN4HJcdeQXWlvdn\n7Sqff044lNoFISgJBAKBIANJkjC8shiDcoUx5ENVFfD006xjwAtKBx5IRA3TZB2PRMKzKPs6/bqe\n1ULd3aluzG7j7lXEEk9qluk5G4p0Tgzivhfb/c4GNG7xOZRiG9Zl7pz/PkWnqtuTLUk7ACYo8TO8\npkkEXVquPr6V17qgRTwtnb/e6Er++6cDn+OOI4+XXOIfVFEBPpkkOUYeeaTjDroFDHeGP2vuPb5a\nmyti64qGqKmj3lGh2SZk2yaCEv197rwzebz3XvL49ddsH9ttx5YlCY1XXk2WHQfryvpCs0w06xb5\nDtNpxIqJUBexTCSL3AFwtgpTAoEgb6aNJ67AuX8+mKygfYoxY8jjFtdJvffe5I/Cu5VKS4Fhw4gI\nVVTE7lW8oNRKh5IcSOsgS0BxRGHvywtTwqHULghBSSAQCAqQfqVRHDF5YLvvN7TUeGMjc8Pw4hLA\nHEz0Rp9I+JebmsiAhJbS5it+9BCqGrKHrZTGNC/xSszUPeGnyGD5QFavqfbWW3VEUJJtmyStzUXQ\nrSLo1lBB6dSwkFUaihAUlDSNCUqRwq3qtq2gDiWfoESdSbxDiQ6g6DmRJLYunfa3kX36sIFbJ2C4\nvzs1W24++ps7+mjgmGPIKkVF1NTRrERw36uuIzUeZ4O7Pn3I45w55JF3zx1/PCnjDQCNjTA0Ir5F\nLBO6oiFiGUjqFjbpwLdLNmHEYDJBETV1NMXciYsukn9KIOjOWLaDuKagnE58UXdR0EkUjQJLlrDn\nfML90lLWv+OLQmyFQynIDzccgjnXHsTEez4XkxCU2gUhKAkEAkEB8tWfDsQDp09p9/3uOqICcS1E\n9KFJt7/5xl8JRNPIwJa+ziVRRSJBOhsnndSjBaW0aaMoomDiQH852rKYSnKuuAP+IiPlJV4uSbNc\nBa9fczdSg4cC55wDx+3QVSh5dJL4zpnlD7XDunXCtdTN0C0bMU3GrcdNznwxTFCyLCEobWNYlbcQ\nQUnmuuTBc2EYrF1saMgUlKqrO+iIW4bmUNKyVQ+lv7n99vNC2XRZQ9Q0oKsqTJm06SlFY+1QZSV5\nHD+ePPIlwtNpYP/9yXJDA3SFvHb+l89DcmwU2SaaDQtbDGDLlga8MX8j0oqKIfWbMPr+v5H/CyT8\nfnP+BqypEdUNBYLWYFi2X0imrnJeHAeIIN6bC0Mr4/o68Tib0CoqYi6ndhSUiiIq4hGF9Wl+9Sv2\nYrNI1t8eCEFJIBAIBO2GIsv+CkYuM5dwIQZ0AAswQYmGePCz77TT/9JLPV5Q6lMSRf+yqG+9V23P\nHYSWpJOwFPLd9Umy7/OiL54nIW2PPw4rQQZFDj8gPfLI8DfO5lDauJGULb/iijZ+IkFnoJt2eHUy\nXWfJSPnzTAUlek3xg3ZBh+DlUOKayH/98T7UnHAKMJRLak2vX1oJM50mg6vKSpL/gw7YEolOr/hG\nq1RqcpYhBW1nNM1LuK3aBvom65BWIqiNk8HluuoG1s7THFEUPtlvczO7R5xyCqQnHwcAXP7Z0/jZ\nmh8wsG4THv+/38AByZtU32zAUCI4/scPUbFkITumFSuA115DU1MzLnz6W5z1xFdb9T0IBIWGZTtQ\nlRBBiSbWP+AA8ijLwB/+wLYrKWECuhuaCiC7Q6mVIW8tsvfewIIFZDmsYIWg1QhBSSAQCATthiKT\nTkaQ3720gD3hxQ4qKMkyGTjx+UH4MI4eKig1pAy89N06rK5JoizuH9CX0+duuGCx3ox0mnSohtaR\npJIfjtoF437/gvc/ttsxU2vc727IEGD33cPfnJbnBvyzdPR7/+9/2/KRBJ1E2rQRUUOuD15s4J1o\nzc1k4C4cStsMOoaiudCSuonr10Sxz4Rf+ts2ei5oWOJ335F2MRIBli4FHnuMvE5dnAHHzbaEJeUO\nhLwtXAhccw0bLGoaUFMDADhh/vsAgDFb1sBwRXJLN9jvk7qxaKg0HaAC5DNzyX7XWazdLHZzy+20\nYQlipo79VnyLlbdPhxkUu5JJ4JVXgKOOQtUNt+IX376BuqSo/CYQtAbDcqDw11ZDA3Gb3303eX7e\neeRRkvz3l+pqEmo2ezZZT0XnWIxd821wKN163GSc9rMcVYonukUWVBWYMIG0ncKh1C6oLW8iEAgE\nAkF+KLIMy3Zwwv99jtU1SdA5X5vvdAQdSnQQQWeqaHJaWmoaYM6KHiYofbuKfcaymF9Q8hJyu7N+\nJekk4kYam0p64+ORu+CoRZ/i5Yn7k9xKLnYqkOBb07zvs1mNoikaR9+E6256+GG2HZ+g+4EHyKMq\nugjdCd20EQ0LO+Kr+fH5IhIJUlXx1luBc88VgtI2gFV5IyJMTYJcu5IUEGOCghI/yFqxglQqA7qG\noOT+pjKqvP3618BnnwF77EGeaxpJhq2qmFC9EgBQoicxvB/Jp2IaJvt90kkFKkbxghIVQl22FLFl\ni7vP9EkwF2evFPf/ABmYutuOuvOvuAnA54eclO9HFggEACw7EPJWV0eKqmzYQJ7TVAbB9m3NGvK4\nYYPfoURzagLA+vWkqm99PXMotSAonbrbMJyaa4NHHwUOOgjYZRfyfPRofyU6QZsRDiWBQCAQtBs0\nR8icVbWo4qqX2XyHgg+toQ4lgHUsaCeEd1bQjkQPE5R4N1dpzC/geA6lhgbUbb8Trj/wfCiOjcem\nHo1h++0GAEhG4ogb7Hs2koHZNkXxvrPndjgQDdEsnadp09jysmXkMVsIi6BLols2Ii0JSnzIWzpN\nwqUGDSLPhaDU4SgyTcpNnlNBqSkdSIrPC0qOw9rCSMRf8roLCEq66eZQCiblpom1v/iCPFJhLBbD\nVLest+zY0CKknbMMK9OhRB0KfFjK2rXkXjF9OgCgnmvTJC7cujydWRU0rbpt6lVXAZde6nstkTZJ\nIYNZs1r+0AKBAGYw5K2uzp9An+ZKCgpKlPJyv0NJUdg96vvvyeO337IQ36amzH20hngcOOssdjzf\nfQf89a9bt08BACEoCQQCgaAdyQh7cLEldrtJOgFxybLIoCnoUCorY3l86ICph7lmTE5QCoa8Td/B\nrcJXXw+93wCUuJXdGqLFGGMS11JVcQXiJhOU3p+3xv8Gtu0lonQg4cJjrvaX3aacfz4pUd63L/uO\n2ytfgWCboJtWeA4lXlDi3YCWW1qdz3Ej6FDoOIZWeaOCUgY0p5xlkbZv7lzyPBLxi0dNTf68I50A\ndShpwd8eFcXo8UYinuMq5t4nNMtCLELaG9PgqnlShxIdXPIOSuqsdH+3KY3lnotr4cMax/3iG2iV\ntxUrMrZJpC3gwgv95c0FAkFWTMvJdCiVl5NKjBMmMGE4ODm1ww7kUVVJu8A7lOg1T8WoVIq4ngC/\na13QpRCCkkAgEAjaDTnbTBS3/pZ3lrL1dBAbJiil08DIkWSZDkrSgZCubk4uh9LkIe5MXyIBu7gY\nZSkyqGqMFmO4TAZTtfEyaBYTfv703qP+N+AFJUnCT31HAG+9lXkgkkTyLRkGc4EJQalbQXIo5SEo\n8fksIpHMxKeCDoM6OOuSOuqbjeyCEu9QCltPoXnQmpvJdf7TT8Dixe14xC1jZMuhRI+dtt00J4qq\nAv36AQDeGrsH5MHEIbfE0DIdSnQfYXlO3N8trRIHANn8q02jiIi+pDJHfpXGhuyvCQSCDEhSbhl4\n+WXgmWfItV5WRvodipLdmUTD6tPp7CFvH31EHpubhaDUDRCCkkAgEAjaDTUY9rB4MVb891Xfqm82\ncLPNVLygFacMgwlKfDUfWj3kpK6V52L769/GnW+3fQDHC0q+HEqOg4FPP06SVzY3w47FPCfSzuMG\noUwmrgBDURGxAoNOAOa8+e4bWKxULsUdzPlwHGY9p+ekh4l3PR09H0HJtkmnnZ5jIShtU6jg/sin\nK3DU/Z+1LChNn84qJQHMuUS5/XbgrrvI9avrwLhxwPjxHXDk2TGtLA4l+rujglI0SgQiVQV69YKp\nqLh/z5Ox4Rfn4J7Tr8ETEw9kg8lgiMunn/p2feX/5sJ2HUq+cOrDDvMWHe73XLrsJwDAsJr1WT/H\n7qvm+Vds2eLPOSYQCHwYlptD6dhjgdNOA778Eli5klzHisKcSUGHEl/VNxZjgjHvUKJ9PyoonXUW\nMHZsR38kQRsRgpJAIBAI2g05KCiNHYvEXvv6Vpm8vsELSorChCWAdCyo7dmtDoQ5c9r/oLeCprSJ\n+z9c2vKGWeAHlDTkbfLgciw7dSjkiy8GzjwTSCbhxIuguoOtkrI4ijaRgRERlDKdRGqfSrLQty9w\n6qlIT5iIx6ceTdaVlACrV/v/wbKYoETLl1Nhj7JgAan8JgZZXZKUkSXkjU9kSsvQC0GpU+Dbx1Vb\nkt71H9cC3hpeOOJdSfxyUFzqpLA3GrabMZlABSUqEm3aRJLibtgA6DoaynvDkWREIhqWHn480pDY\nYDJbPq999gEAPD9nNaq2ELGJD6f2fsujRkGiufj4Yw27Plwqk24S78pKYPNmkgPqhhuybi8QFDpW\nMIcSQFyS1KGULQ8jLyj16kVC5QAi4lZXk4Tc/MRiJAI88QRw8MEd80EEW40QlAQCgUDQbmQMKpDp\nejZ4QYl2OGgHhApLgF9Qqq5u/4PdSnh3UVuoTxq4/tUfvefFEfK5ZQlQmtxZ/fXriaAUiyFik8GS\nEomgzz1/AwDoigYtxKGEgQNJgtlXXgEGDEB0wY9oGkSEIsdxMpOb2zZzENx6K1l30EH+bV56CTjl\nlMwwHEGnkzYtfLu6DrOXb8l8MUxQojks+NLMQlDa5iR1IrZktCW8GEJn6gH/OQqKLolEp+SY06lD\nKeiOS6WIu+r888lzmpwbANJpmAr9LA4iigzDslnboqrAffdlfp5SUhFOsywkqjYDAJaPdEuBH3ss\nc1X+4x9M0Hr+ea8q3KaSPlk/R2XCTXyuacCTT5Ll557L+dkFgkLGsB0oQdHouuvIfUaWWecv2Ank\nBaWKCiYoffklebzxRr+gJOjyCEFJIBAIBO1GhkMpBJOfUQ5zKMky+TNNbwCBzZs74Gi3jqS+dcJK\nQyo8R5EsS2wwtGIFoOtQ0imcPYeEDkox5kww5HCHEgAykBsyxHt67j6jALgDwOBAzbbZAFVRgFGj\nmLOAwp8rQZcipedwjfG5sGybDJj/9S/yXDiUOpUnP18JgFyTDh+ayotIXFlrm8sXlOFQMgySDHcb\nhIXYtoP7P1iCmoQO06JV3gJDChrOQtuyykr2mmnCciuuOQ6gKRKaUiYcXlD6zW/IPWD4cPZ/7neh\n2BYe2/UYAMAXO+1LxLQXX2SCUixG2jAAOOYYoKoKDb/5LS4++ir/MY4ejY92OxQA0Ic6lCIR4Mor\nyTJ1awoEggws24YW7PJNmsT6c/E4EZOCbsHycuDII8nEV2kpcVcaBgvPv+QSIjQtXEhc2oIujxCU\nBAKBQNBuhMlJUnAt746hy7xDCWCx9LQjQtf379+ux7s1NBtbJ6ykAv8/aVA5th9chj9Pn5iRf6TX\nZx/h4CVkhl/mBv6GomKklF+uo5gbVpPS7UyHEg15A1geJdsmyTZ/+UuyXghKXZZ0rnPCC0rUoURd\nS7TyFiAEpU6Gr/hIHTUAmKgOYGUD5zYLDtJSKSbg1Nd7M/vNugV7K92UQb5eWYM73/kJf3ppvteO\nRYMV1lIpInpRhwEfQvvss/jrbcT9YzuAqsioTRrYUOPm1+N/o7wQ5QpKmm3iPzsdhhFXvQ41Hmc5\nl373O/K4447ABx+QxL6KAkQiKLv/76gu6c32tc8+sCNRPD9mTwDA2d+8Rtbzwt6kSa3+bgSCQsGw\nHEScwL0nFmP9ubFjybU8erR/mwEDgFdfBaZNY+6k++5j96p4nPz/+PH+tlDQZRGCkkAgEAjaAjxX\naAAAIABJREFUjbyGLbyYQWe1qTOJ5udRFDLQpSIHnXnuzQ0IOplmN1xFycOVFQYNdwGA936/L+IR\nBa9fsg92HlbhT6QMwOG+s4jEJfJONeHG/96c1/vRPC3NhpXboaTr5FxYFjBvHjBjBusgAkJQ6oKk\nDXLd/HKP4Zkv8iFvySTpoPOuJLrcCeFSAoZhcS4zKpAAPiGmgTdFBh1KCxeS80vzkkyZgpRhYcKf\n38Kd77Rf5TfbdpAyybE2pU2k3eWYGhCpDYP8vmjbHQjR+9NR2+OIyQPx8/H9PHdWI3VtKgr7P05Q\no4KSarM2KMbnnzr6aCIIVVYCgwYB++2X/YN89BH2+MXfsdnx/+4tPhdVIgGBQBCOZTsotgNO7ViM\n9ecA/3IY/IQGvReF5D8TdG2EoCQQCASCDsOyHdiBKmNSvg6lVArVW0h1N4fOcpsm8PXXwIUXZlYv\n28bw+U/a4gDgBaUx/Ur9L+r+6k8Slwhb4QY8lcn6vN8vHiG3/M+Wbg7PoRR0KFmc8GQYQlAKIW1a\nuHXmwqzhi9sKmsdmyvCKzBdpJ/3SS0nHfuxYdg4VRYS8dRF0kxOU+AEVt7y+iRu8BXMoHX888L//\nMTF60SKsryPt5jsf/5CZiL8NWLaDUdfMxN/eWgQAkCTJcyjFgg4lWtEtS6Ltwb3ieOD0KYhHFNQ3\nk9/ghcdcQ1xGY8cyZxMnKDmuoPSnDx/z1vUva93g88Kjr8YfDv0tIMvY1JBGs+oX5lIJLmdLQNgX\nCAQM07IRtQKVKqNRfy7M004DdtqJLO+xB6lc6dsJF+ZKl4Wg1O0QgpJAIBAIOgzDsjN1n2wOpaCg\n9MIL6Lv3z8jLTe5MsWEAJ5xAEk6vW9exB98CvCD04Eetr/TWbOTIwZQj8bXV0MiWZSXrdkGKIkQc\nuuJ/czPdKHx1PcNgbjG6nWn6xT8BAOClb9fhn58sx73vLunU46BiRGiVNyoY/f73ZFBPZ5ABISh1\nIWoSOjBiBHmSRVDS+bYz2/nixOjaRBo3v3U/Xrr7TDRde/1WHyMVj35cT4R+WQIX8hZoi0yTHCM/\nYMxCbYL8BpdXDsEzp15G2h9XzKlT2edPDxgIAJi4abm3bmB5/oPP3x6wHebsegCe2/Fgz2G6pbiX\n9/rXgydCca8HS+XcVQKBIAPTdhAP5nAsLfU7mv/9b9JnA4DPPwdee82/Pb0XaRrLFyfuRd0OISgJ\nBAKBoMMwLBuvz1/vW+eEOZTCBCVuYCQnk2SQoessj1I7zLhvDXwOpB/WNbT6/5vzTaQMgM9O5dQT\nV9Llh18GiVPrfMnOQ/CVJg86lAwj3KFEO3am6Rf/BABYmFLa7NzvhApKGXlsAGDjRvIYiZBzG4kI\nQakLUt2YBr7/Hli50n8uuJC3kmIuD1E2gYZrN/s88iBOn/sWiowUUl98BTz1FPDCC2Rg1wbSpr/N\nkrh1UVUGqqpIEt2GBvK7UlXiJgUyKz1xjBvAXEh/fHE+Edduvx0AMHNFE3mhrAzpCPn8ZWNG4I+H\njQcAqLnCaQL8/qCxOH9fkqx7XR1xeq4tZ3n5vho6Capt4fXx+yBZ2U8ISgJBDkzLQdxyr5EzziCP\nw4e3HObGc+ONwOmnEyfTBx8Ad93lD3MVdAuEoCQQCASCDsO0HPzz4+W+dQafpJt2OsJC3jhRRUom\n2OD3Z8S1hJ13bvfjffyzFXh93vqWN4TfoZRqg6CQs0pcIOTNcb+y/+x4KHZ74XEAgCXLiNjsO9KV\n3ILAXmNIyewDxvfLFJR03e9Qokm5wxxKQlDyoHJejrHyNiHh/pZiQZcIAFx7LXnUtHBBiYqFnf0h\nCpzTH/2S5LcaPtx/LjhxydbU0PU+uOuz9PNPAQCK46DPkgVk0HfuucTh2Qb0gKBUmzSQNixIkiso\nXX89cSQ8/jhzKFFyhChfecg43/OkbqL5hwUAgCZXRMJNNyFFG0KuCl6YKS8X1Km5tjazHHlajUB1\nbFx65BVorqjMaIcFAgHDtG0U6a6gRK/v0lJ/yFtLDBhAhO7iYmC77YiTVtDtEIKSQCAQCDoMIyw8\nSm69Q0mybTLoNQxii45E/FWD2okbX1+Ai//zXV7b8oIQLy7ly5ZEjsFKc2Cw4/bVEpEYKoaSsI8J\nQyowrIQNMOuHjCCbZhEGFFnC8MoilMTUzNnDdJoN/vik3EJQ6hZUN5JOfb/SkPCfXXclj717ZxeU\nhDup0zGz5WHjzo3udtsNWYGZR7irVl2VuVJVWWWlVhJ04tU3G0iZNqKqDEmSWM6hyy5jDiUKHXBy\nYhClOKpiwsAy73nKsLERJLdRMuL+pkePhp4ibaYUj3viltIKhxJ5L/K93fseCVP9+yk7ASeeiE1n\nnouUSlyaMSONVU0mSXI+bhzwhz+06j0EgkLAtB0U6W5fhbZTNFw+X0FJ0CMQgpJAIBAIOgzDyhwk\n9avgKhhlS8qtKJmzw3QdL250EDndQy58yNvG+tYnb/1i+RYAwNVu6IaP6mrfU9PNLdC3shSRfsRp\ndN5+Y/DgiZO9bZqmHQAAkHKEAkZV2asI5hOVqNAAMIeSSMrdbah1xcmKIk4YamgAxowhFcMmTyau\nF11nSVMBJiiJCm+dzm4jslSw5ASlhESW/7PToahJt5zLTNtMBCVfKxyLkTwmkgT86ldEMMmToENp\nxeYEHv5kOaK0whtfna6uLvx39e23ofuOqKw9ShkWzh1/HP6z46H4eOQuZOWf/gQ9RYRTVZFhuAJc\n39Joxr5yURzxH9N+Y/sCzz2H/v96hAlKpo60ogG1tcBPPwF33NGq9xAICgHdtFGSdouE0HaK9h1a\nKfQKujfibAsEAoGgwzCtzEHPwiquLHOupNxBd5OqEicNL3R0EP+evarFbXhXUrPRepGlOKKiNKri\ngv1Gs5VLl5JBzKJFvm0T4ycBAGxF9YQfGQ4Uk4W8yQ7IYHHIkKzvGVFlryKYL6wm6FCiIW98DiWR\nlDsDWt1vY33n5lqh7haNG5Rj1ixg2TLgxx9ZYudsDiUhKHUq4/qXondxJPxFTlCql8k2tiRDz6Ow\nZLSK5M+yuPxq9eDO9ZNPEsGkKuBkuv124OijM/YXzKHk7dOt0pYxiAxzKFWEVCKEGzLnkjIsLKsc\nimsOvRjNmisYff891u17EBb2HYHacy7AufuMxDl7j8TpPxsWur9sFLkOpe/X1KEspqJXEfveJ4wi\n+ZRipk5CiHmn6LJlrXofgaCnkzIslKXdgil0QkqSWhfyJugRCEFJIBAIBB0G71A67Ff34YBz/g8W\nP+jI5lAKG+DS19PpDu+s3Prmoha34RNxVzem4eTIERKGadsY1IsL2/vLX0gOgZ13BlZxgta0aRj4\n7AwAwOH1y5gQ5Dg+F9fwcq1FYSCiyMxloGkkXwsQnkOJFxpEUu5QUu53OW9t20KI2gt6nWlB1xkA\n1NezfGRUOBSCUpdCkaW8Qt62qKS9UGwbVrbtOWjSfkNm51fbtCFzw+22I78D+ju5+mrg1VczNhtw\n+cW4/r1/5njDQLgt/3uk7WOWtvvOE3bEsN7E4fS3txd76/ljryvuhcPOvh/KblNRFtNw3fSJ4XnD\ncsBvH6xMZ0WJ8Boz09BVDU6Kc55+9x2w/fYkcbpAIEDatNGrgTitEY+T61+SSH9OOJQKCnG2BQKB\nQNBhLK1iJe4X9huFZX2GwuGrkWVzKHGDDq96GR1YJRIdMgBurSBU3eR3pbw6N79k3hTLdqDI3ADs\nhhvI46pVZPBC4QaUMT3lT2R+6aXeayrvKMqCqsgwqcMoFgN22oks8yFvuk6+36CgJELeMqClx+VO\nTmht2TSfTMB1BhCR4PvvyXkzDNLxF4JSl0KRJe8cZsBd0zRBdcQykIee5BG3mPAcM0JytzU0APvt\nBwwenHM/kaVLsN3m1bj35J3ye2NePKKfL4ugNKyyCA+cNgUA8NWKGm99SmMhbRvriWOoKNL23ysf\ntkdzj1EsN79Tsd6MtBKBY3Chz998Q9x+113X5vcWCHoKjuMgZVjoVb+FhLpqWmZOTEHBIAQlgUAg\nEHQYDc0t5CLK5lDiZrdsKijRQW8y2W6dlT+/8gM+X7oZAFgomEtLApMRCP9YU5PMsmU4pu1AVfIQ\nIvjPWlrq/854J1MewoAqSzAtrhoLdbGkUqxUb22tEJTypKqROBisVoqR7Q11KKm8oBTMQUbDd4qK\nhKDUhXjlN3vldCid+j/m1qHhX1FTh3cV/uY3rXq/RIRL3E4digDw+eckd9u//531f21ZgWpbGNq7\nCJcdODZzA64yJwC/Y6kFQQkAYlrmsGRjaSUAoCFajFtmEudocbTtv9edh/XK+ppRQtrA0nQSuqLB\nkBVg3jzyIr2eamqy/LdAUDgkdAu2A0Qa6oDKSn/eJJGUu+AQgpJAIBAIOowWB9p5OJRsueMcSjNm\nr8Jpj34JgFQW4mnp0IN5k1obemHZjl8A+PWvwzfUdWC8m7g7FmODtKCjIVhVKQTiUOIEJepiSaXY\n4HLNGvJd80KDSModyjNfrQGAvMKPOhLLdiBLgJxNUNp1VyYoCYdSl2LHob2gyhLsQIPz83Mfwn6/\nfhjVxUwASSvERVghW17+LowejdZQqjdj6fufkyf8b+Sww8jjmWdm/V9LUaDYpKpbvzJX3FJlPH/B\nHpn7A/y/q5C2PUhYG2rJCi6dfjmOPeNOb11RpO2DVS+BeAhGCak01ydRi7SqoaGuiTk3y8vJYyLR\n5vcWCHoK36yqBQDs8N7LpM/Ai0giKXfBIc62QCAQCDqMFgfawQ6InVmBzEsoSzv2iUS7zH4FHUjp\ngEDUkkSQCmwfb+Ugx7QcqHynK50GysoyN3z/feDuu8kyn5vAcfwOgDzKv6uyxM5JWRkTGZqbAbeS\nHJJJ5lAKs7ALQQmA//cTlnx+W2LYNlQl0KXjB/fnnkscKIBwKHUhRvYhIVYK7xx0WV45BKsqBqEh\nWuytS2luFTLbhIFAu9gKjLVueG51NTv3Bx7Y4v9ZrkMpqsqgLc/ROw3CVFqhLuhQ4n9XL75IHlsp\nKAHAK5OmYVnlUACkkqEW/K23E0Y5Ee/+/vpd0BUNUdOtiggAw4YBxxwjihJsQ1KGhen/+BRfuhVR\nBV2HYMVHX99EOJQKDiEoCQQCgaDd2HtMH9/z4Ky7j379MkPeaGd99WpvM9V2B79LlpDH5uZ2GQDz\nWte5//o6w3EUFvL26ZJq/O7Z71DVkMKijY2+Mu3xNjiUfDlvmpv9glCMC03hxRzeocQLSnk4lHyh\nNdtvzyrCNTeT91AUfw6lMEFJDKgAwBeilDWh8jbCtBxociB80uTCTWMx4KKLyHI8zl4TglKXQOGF\n3gB8DiHqUCpxDDTQ09sGQWnZLfeQBdMEHnqILO+3H3DEEf4NHQc1CR2nPDwbG+qbYSkqVNtEhKvI\n5msmgw4lrh1HURFpb3L81sJC3oL0K421uE2+9C+L+p4bFZVsWVYQtQz2/abTQN++wMaN7fb+gtys\n2pLED+sacPn/5nb2oQgCJHXSADmKAvzxj5khb8KhVFCIsy0QCASCdmNkn2JfwtZsg6Qpl/4HWLTI\nH/Imy8w5wY1SolZg1juVapfZL/7Y3ltYhc2BJNthR37V8/Pw8vfrcfPMhQCA2iQ7tmx5masaUnhv\nwSbveX2zgcUbG2HaNlQZwE03AbfcwipwUfjy2jvuSB4vuMDfaePf9MYbmQsgCyqf/PeRR4C//50s\nU6dSJNKyoGS2kBerQOBnaJO65XWwO4MMcbJPH+CSS9jzWIwN5KNR4VDqYuTKodTMC0oqaR8qZBsN\nVP+ORkP+K5OTT7kFl06/HABw7SEs75JDReVly1iSfsqVV+LTGa8i9u47+NUTX2PexibXoaSwYpP8\n9roO9O/Pnr/1Fnn8xz+ADz8EVqzIOdDMJ2y4ONp+zofnzt/D91yKk6Tn/9vxYDRHYuTeQ68NXQfG\njSOurtradjsGQXZoG1ubCEkkL+hUkroF1TIhWRaZpBAhbwWNONsCgUAgaFeO2Xkw5l5/MAAy0K0s\nzpxBr4mVEcEkKFjQgW6uQRJ102wlQfdUIh10KGX+j+bOzCf1zLAvwwofEJ726Jc4d8YcLyzqF49+\niUPu/QSm7UBRZFLR7e9/B9au9X8uXlzq358c0LHHAqecQtbttRcTlDZvBkaNYsJTFjJCa9wBFJJu\nQvFIhAhbqpqZN4mek3SaVA178MGCDn8LWv7/PXtVli07HsOy/WFAWwIhIpEIO3+qKgSlLkZYDiWK\nIbNzc8SZhwPDhuHHi/7A1rcQ5kqp7TMAr0yahhFXvY66eBn+NeUImJKMOse9xk8+GWhq8v/TXXfh\n6ItOxJPP/wWLNjbClEkOpbK4Cslte3w6ejaXZFkZaata+J1piuzLK0ervvFsTYW3IEG3k6bIGH3l\nK7j2iN+isr/rVqJhfOm0yKO0jWlMk+8+EXK/FXQuzbqFmOkKfTSMWoS8FSwtCkqSJD0uSVKVJEk/\nhLx2hSRJjiRJfdznkiRJ90mStFSSpHmSJE3htv2lJElL3L9fcut3kSRpvvs/90lSJ9feFQgEAsFW\nQ90StuPgyB0H5diQC6PicyjlGng0NfnDwdpI0D3VmPI7TJwQjxL9XHzOnBcu3NNdFz4gXL2FiDUp\nV4CYv64eANCUNsngacIEoKqKlKVet67lAz/oICIuTZjABKU8BQGNT8oNsMpu9eSYPIcSTcrNC0o0\n9EPXgXffJdWlkq2rbNeTCFYFNDoxj5Jh2bkrBqoqO3/UfQaQ8zxmDLDDDh1/kIKsKLKctf2g13hV\ncQXkslJg1SpsmboHzFbmNIvE/CJ9TbwcqmNDSnPOzFQq5z4sWYHiWIhrCo7acRBOnjoUVx02nm2g\n6/6BJG2fWuFWoC6lcf1LccQOA0Neb7+5cC1wzaypTcKSFaQtwCx2c1fRMD5d97eBgg6nyb0nK8Fw\nXkGnY9o2YqbbdlCHUtBxLigY8jnbTwI4NLhSkqShAA4CwAVI4zAA27l/vwbwf+62vQFcD+BnAHYD\ncL0kSdTL/3/utvT/Mt5LIBAIBN0LxR1IWDbJRdSryD+LPqqv21nPVuUtF42NzFmzFQQr0D0xa4Xv\neZhhgM6e8xXhhlcWAQBem7vev7HjAGPG4IxvXgOQaduvbkyTjnJYIm4gv1xF995LnCfFxS1vi5Bc\nLYoC9OrFQjii0ewhb7xDib5fIQtKAYdSZ+blTqQtlOQqpa4ofkHpllvIsqYBd94JzJjR8QcpyIqm\nSFhTm0QiHR42ecwZd+HwX93nudAUSYIhu21qMBF2FiJxv6BEE3w7KSYoWc3ZBaWrP50BS5Kh2hYk\nSUJMU3D7CTugTwm3X97VCLD2vQ2CUjYRoT3TlQUT2fNiu13siu1UcBOCUrsyf2099r/jQ9Qns/9+\nm9zrIdJBSdgFbce0HcQM99ooKvK7koRDqeBo8Qp1HOcTADUhL90D4A/wh08fDWCGQ/gCQC9JkgYC\nOATAu47j1DiOUwvgXQCHuq+VOY4z2yHZT2cAOGbrPpJAIBAIOhvP+ew4sB1A5synFUUadhzilsIO\nhrzlElHOO488tpNDyQ6MTOasajkvhuwJZeR/x/UvheZ+2NnBSjS6DixbhjKD5Cc65N5PfC83pkwS\nvpFNUKJMnZr9tbPPJq6CPB1KqizBDH7HFRVMUMqVQylMUCrg0I+06Rc/rU5MVt6QMlAayxH6pCgs\nNErTgB9/JMttSOgsaH/iEQWNKRMnPjQ79PXvB43D5uIKb2AtyxIMxb3m0+nQ/wkSFJSaVfJcn7IL\nWTF1Kr5IkXVGrwoiNIN18i/4/DkMrd+EvrGQgeLGjSQHU9ChRJdbMbikDqSge2j/cX0BZFbXbE/4\nSQSTtsu1teSaEYJSu3LfB0uwcksSny/bnHWbppSBwfVVXhL4pG6GFssQbHtMy0GR4QrQxcV+V5Jw\nKBUcbTrbkiQdBWCd4zjBtPuDAazhnq911+VavzZkvUAgEAi6MQonvNiO48uzUVEcYeFBtNPxwAMk\nPCIkKTflhzIudK4DQt6ChDqU3EFO1B303HfqztDULHZ8d9Bx6QdPYnzVCiR1C3PX1Pk2GdOvhMzu\nhWHbwMKFwPvv5zzO1hB0KL23YBOSatSflDufHEr0mHu4oHT6o1/gwY+Whr5G82gdOKEfAKAk1nl5\niJrSJkrp+4f9cGkFP8AvPuaZf0fQfvxqrxHYdywRR2jLQd1lCzY0eNuVuefznL1HeuvowFqRAV3h\nkkXnwdVHTcbQ3szZ2Rh1ReHGRmD//YF4HM8eehYAoPpn+3jhamtHT/T+xwEg2yGCzimnkNDJWbPa\nLeQt6FCikxBTR/TOe1/ZyOZ+om3jRfuPhl5JzhF++om1i1RQWrcOeO65gnZobi20vWrM4sp76otV\nmHfzfZj10NmYum4BNjelMfHPb+PhT5Zvy8MUZMG0HRTrnKAkHEoFTasFJUmSigD8CcCfw14OWee0\nYX229/61JElzJEmaU11dnc/hCgQCgaAToB32uqRBGnvOoaTJMhOUaKfjhRfITHAOl8ebSzkxJpEA\n1q/Pum0+tCgoZb8debPk5XEN8SyViRasYPepwxbPAgDc/MZC3za9E7XZw41sGxg/vmUHUytQZcmX\nPPzcGXOwrMFgLgfqTKKJmwvcoTRr6Rb87a3Foa/RJO4n7zpsWx5SKM26xX6HYVX4VDV8UC8cStuc\n64+chD+6eYfolVgcCFe0bQdNaRMXTxuDMs55FnUFJVmS8PKkaWTlQQflLGKQihUBO+yAncYPwTu/\n289b3xBzr+H6es+ZmFI0LO4zjIhG7j7XDR7t/Y9qW4hVbSSOJIDlXKKV4oCtDnmjv+N8Kr61lQ8u\n3w+Pn5Xp/KSJ0ccPLEPjsFFk5VlnMecmvV6++YYkMV/qis1NTeFCriAr9PymzfB7/rUv/4CfrSbp\ne0dsXotVW8i95q0fN26bAxTkxLJtlFhuv4EKSsKhVLC05WyPBjASwFxJklYCGALgW0mSBoA4jIZy\n2w4BsL6F9UNC1ofiOM7DjuNMdRxnat++fdtw6AKBQCDYFlAB6fFZK+A4DmQJ+OvRk3DXiTtCVbhK\nY/zgo3//nDmUvBl5APjkE+C117bqGIM5lADmAADCc3VQvevrlSRETFMk77OWphPAMccAy5cDn36K\niTv6B2IAUJv0uwl2f+DW7A6kDhigqIrsCWkPfEgGQ2k1wgaGNBl3SyFvdDnP/C09kWaDCDflcTLg\nz1blb1ugmzaidAAedk4UxV+BhyIcSp1C0CHDi9KW7WBDQwq2A/Qq0nxtUoQTlL4fNA4/bWwgyfk5\nQenUk2/GwWffjxt+fi4AYPbe04G5cwFF8e2rwXUoSbW1nmBi2Q5JvG2awDvvAABqe/Xx/mfSJtcd\ncvvtwEMPkVx2s2YBDcxZ5bUZe+7JBJhWuBVoqFtU7bgB6fDKYvx8fP+M9VRQkiVAKi/F8t6DybHT\n3HL08/Rxv5M77wQWLybFDZ5+usOOtyfyny9JCt5gLjoezSZtWUpS0OQK+MXtWOVPEE4ibfoKj4Rh\nWg6KLLc/E4+LKm8FTqtba8dx5juO089xnBGO44wAEYWmOI6zEcCrAM50q73tDqDecZwNAN4GcLAk\nSRVuMu6DAbztvtYoSdLubnW3MwG80k6fTSAQCARdANsmkQ9n7DECx+8yBJoiswpZ/CxWCzmUDDUw\n+G2hIlFLzF9bn7Huwv2YCBSWqyFY2ptP6nrS3HeAV14BRo8GLr3Ut53ikM+1pIqU5f7VnFew8vbp\nKKoPS1FI36z9c/LwOZTueJs4b3RFY98lDXULE5RoqBS/PswNUwA0pU2sqyPfGRWUlld3nlsrbdos\ncW3YOckmKAmHUqdA9SQqK/Htyq0zF2Kv2z4AAJTFNV8uISpE8VU0AXjn8fP35mD2iB3xU98RkNy9\np7jTzQtZNfFyAMAr7871BBPTdmDIKnEoTZ5MQos5gbJZc4Wre+8Frr+eLO+9t1/cp7+/KVPYula4\nFb5dTZyoa2tJGO5Ze47AvSfvlPf/bw29i8n3WBxVEVUVHHXmPXC2bMl0KFFHViIBvPceWZ49m0wC\npNN5V94TALfMXJj1NdX9HutMCa//7mYsvOt4lKrCCdaRmJaNSde/jb+89mPu7WwHGm1OVDUz5E04\nlAqKFs+2JEnPAJgNYJwkSWslSTonx+YzASwHsBTAIwAuAgDHcWoA/BXA1+7fje46ALgQwKPu/ywD\n8GbbPopAIBAIuiIOHF9Sbi2bQ0mWc3bE03L7Ckq//vc3GesmDWLhZfl0WzVFAtaswYQBpShLc/k0\nav0JvhXbguTY2GHDT5AcG9e//wgAoP/sj7Pv/IEH8jiC1pFR5Q1AWtX8DiWaOykoKFE3C3Uw0eUC\nZNqdH+G6l0k4RlGEfEcvfLs21790KGnT9vJ64cADMzfgcygJh1KnQ12N9ErkL8k3f2AhPSVR1ecq\n2mU4KZAcLA6A4cMBALd8tNLbVncF+ERdY+gx1BSRtm7dktVejiDDtGHJMn5cRQoMpCQF66vZ//97\n58PZDqqqsn048sgnC2/D4LLZDSv+y1GTcMzOLL1qRxaQv+bwCbjpmO2x/9i+0GQJTdEiWCWlLIcS\nf71MnEg+6znusGjIECKsxWLA99934FH2DKhQatkO3l+4yfstp9IG9KuvQd+mWkRscn8xFBV/ee+f\niJtpfDZ3Nb5emWMiRrBVbHGr0T71xeqc25mWDc8rRvtuIuStYMmnytupjuMMdBxHcxxniOM4jwVe\nH+E4zmZ32XEc5zeO44x2HGey4zhzuO0edxxnjPv3BLd+juM427v/c7Ej0vcLBAJBj8J2/IMATQnJ\noUSX6WA35Fagt7NDKYxRfUtYfhMH2FifQn2zO0M/bx56fTXLt7324w/AsGG4Yul7kB1uoB4QxhTb\nxi+/eR2vzvg99loZrGeRhRNPbPPnyAbNocTfan0hb8EcSnwHkReR6HIPnokPVgHkqW40yM6XAAAg\nAElEQVRkg2UqKHUmadNiDqW6uswNeIcSf86kjhyeC/KF/62tq2v2lmOa7LmKTtl1KKkKCc6hRJuc\n117DKxffgB8MVqxgfSkJy6qTw11odfFS/G/7A7Gi92DPgbNicwKGrEKzTdz59mI0OzI0y8R5x13r\n/k8e+dxo25BKsXa8FYPLs/ca6fuMlG0xOCiKqPjF7sMhSRIUV/AwbSfToWQYJOytupq4u1SVJDcv\nkNxy7cHEQeXe8jn/moMXXUH++t8/gMjtt+KWt/8B1WKCkuYuq5aJK/43F4s3NuL7NSFtnWCr8Po7\nLUAcStz1zedcFCFvBYeQDwUCgUDQoTz/zVpfUm5VkWHYIQONFh1Kqn9bKoJ88w2putMOaIrEwtgc\nYPdb38e0Oz8iz3fcEc8+c41ve3UzSbw94eOZUBzu2APOncENVRhdQzrMI2vX4efnPtQux9taaJgW\nzQEFAGklkulQooNCet6yCUo92KF0xfPhwl9w3otPqNys5yewjb5mJh7+ZFnbDy6AzjuUwgbvigIc\neihZHjGCXDO33dZu7y9oG2EhbzxRVfGcG6ov9I08enngBg7Ej4cxAfqA8f3wwehd8cdDLkb0lptC\n9+1IMq484nf4eNQuRBRJp5HQTW/wfv+HS2EoKlTbxFdDJgEAthtY2vKHogNJXvBvxeDy8MkDAMDn\nau0MVJkTlII5lHSd5PzbtIm0kWVlJI+UEJTyJpij58rn52F9XTOqqohIpNqWJyJZkuy5lTTLREMi\njUPv+QjHPOCf4OlJLNzQgBFXv4FFGxta3rgdmb1sS17b1TUbUMGlLjAM5uATDqWCQ5xtgUAgEHQI\nu46o8Jb5vkVEkVhnMptDKQSfQ0lVSan72lpg6lTguOPa5ZgVWfIGebTKW00isyx3r+YGaJbhCWUS\nAJkbFFoBYeyQJV94SXB3Xz0fRyz6tF2Ot7XMXrYZAPDs18zOnlIj5LsE/A4lgDkMeEGJhsQBZFvL\nAp59tkNyPnUmL34bLlImA6IRnzz4xtdz550ASIiHZTu4ZeairTtAF8dxSMgbVRnCBuKqCvz+90R4\nHTuW5Le56qp2eX9B26EtRliBAIA4lGiyd5VrRKnYsmJzk7eOd8oVR1VAkvDdoSfijIO29+0zzFFn\na5qXlFtXNG8grysqNMvC3hMHAQCOmtiv5Q8Vc11SI0aw32IrBpea+zvubPOc4h6zZXEOJTpg1nXi\nUNpM2lOUlgqHUisxQ4oYvL9wk/fbM2UVZTJpa3cZytxMEcvAA09ejRV/O6rtbz5rVpdPov6WG/o6\nc/62rWqX0Nkk0TUvzfeW3/5xI85+8mukTXJOVm1JoIy2JUFBSTiUCg4hKAkEAoGgQ9h3O1aNU+KC\n3lQ5S8hbCw4lg6/ypihkBpyKGHqm6NMWNEX2BjLZArAlx8b3952Ge167yxs42JoGmRNUnHTm8aRU\nMrt9xOJZuPyzp1ETz2O2v52R6aw715lPaZygFHQohQlKQYfS/fcDp54KPPXUtvgInU6wzDXvvqOJ\nhHNhcDPzKcMKTf7eGqjg4FV5CxuJKwpZP2jQVr2XoGPI9hOIqgpG9SEixcSBLNwsZZDf0GX/ZS46\njSsQ0KeEJM+WQn4LP/zlkIx1SxtMIJWCaTkwFBURi4S9mLIKzTagxMj+4lK2RpF7nz59gLffBm66\nqU0hb9SJpWRRlLaV0KR5IW92eMgbdS0BwqHUBsyQCYjrXvnRq4iqKyr6uPrE+XuP8LaJmjr2XMV+\n96FV4mbMALYEnDa2DdS7hTieegq47LKtOv6OhjrkrG08UZNMsz7Yf75cjaoG4jT844vz8cGiKqxz\n73FJ3UL/Uq6KIxWUbM61JCgYxNkWCAQCQYegcCEafDoMTZWZoBGs8uY45C9k1KDzuUB0nYgclZXA\nmDGkdHZ7HLPPoRROkU46WNMXf+YNHAbM/8afQ0nNnJ2Lmv7cBCYfwreNoM6GV+eu99al1ChQU0OS\ny2pauEOJluqjybr5HEo0AW07iXpdHX4Ac94+I32vBROeh/4/JyiN/3/2zjtMiiL9499OEzbDLrvk\nsOQcBRFEVAyIGcEsRoxn+qkn5nCenOHOQ+HUM+sZMZ0ZFVBEPQREkiTJeYHNsxO6e35/VFdXdU/P\n7uyyC8tSn+fZZ3p6unu6e3q7q771fd/33i/x5fKd+GblrmrX3VZShevfXIxQNDHEkI4Y206pZCFv\ngkYHvdck++0DmozR3Vvg+9uPxYQhbe35UY+S3j5OUGqZTQSgNjmBhOVkOfHeGlM1IBJB1DAR4xxK\nMUWFahj478oi64uT/I/z92tJAk480VlBsBadS3oHdudQOu+IduiUl46JQ9qlvK39QbE79B45lKhb\niVbAy8wkghJ1ZzVAfr+mxL7KKP5IUhVT48RMmkMpwF0+//z0Ccfyq3daSeP/8Q/ghx+A1auBSZPI\n36pV5NpbswZ4+GEgJ4c86zIygIoKTPlgGW6d/g2wbl31O/z558TheQCh7afpc/7Az+tTC0OrDyoi\nzmcMzelWHia/S1nYci/qJnz0X1SWWbsgHgeOOYY4FAWHDUJQEggEAkGDwI8wO6q8yRLW76nE7zvK\nEkPeAOCVVzyH7CO8Q8kwWP4eGqZVD2iyzCow8fvAjRKmxbjqRVYlI0WPoefuDfbsuD+xIxfQI473\n8QatV+SNu5MGMOcUVq8m55IPaaPQ41dVVFVF8DntYOo6MMAq6d28eQPtdeOCCjgA0LZZGgDgqM65\nAJKMlrugYmpmpBLNQ6W49j+LceVrC/G3L5OHwD0zex0+W7oD176x2DH/4yXbMGMuycVkVwPzSsot\nRosbNdXlUJIkCe1z0xxuo0gs0ckZ4+5RNK+X7VqrCb8fME3k+mUS5mbSsCOF5K6RJHJvSCYo8fcL\n1UMor4WgSc+F213VOieIObeNRuucYMrb2h+oQyRmJgl54wWlQIA8C7wqKQoS2LAnuYNLsxxKMUVF\nWtx6rnMVA/vsWm9PK6aBSNj67NZbgaOPJonSAWDWLOJUiseBd98FXrbqQe3dSwSlqiq88/MG9H/p\nKWDYsMQd+eknYMYMNv3UU3U72DqicffsZ2bXIHjVI+5Bi7cWbMaeiogt9M5etRuVER0loZgzKTd1\nKCkKMHcuEfQEhw2ihSEQCASCBsEhXnCTNAfN5a/84i0oXX65Z4M8rLiqvFERiW/Y7yeKIrGQN/4D\nrkGbFuPCmrjvbVbFlef2cBz4dWdnzGd4dM6mTwfOOQe47rra7HbKeOhJpMobQM65O+SN/g40FFFV\n8dniLXj067Xkva4TNwLQpB1KJaEozpw+H7NW7HSEvNHOLxVz3OFwXny/hnR45j53FRY/faE9/+uV\nu5KuUxCQcOTmpY4S8gBw09tL8K+5f+C6n95Fj8/eBUIh7wT19fT/IWgYkoa8ad7NdK/rjIqZn9ww\nEn7LIWl45KnxJEBEmoARA3w+LoeSZrtE4PMlv4407t6cnZ34eS0ETfo/pRzkHorqzqEUiThD3jSN\n3BfjcXbfpMcpBKVq8RrYoARjxN0VVn3wUVfvtGmey/48fRKGdC0gAgbljjvIaywG7NhBpt97jz2f\nFi2ynWSPf/6UsygFzyefADffTH5f3j19gNA4h/cP6/YcsO+tdOUIfHfhVtz1wTK0zyWDJ5GYgb4P\nfIWKiA6NdyjxOZQEhx1CUBIIBAJBg8A3Gvmy2LQsbShqsBABwNkY8Wi4RRXXyHcDOJRUPuSN3wVu\n+2kxrvHJdbAcVd489v+4js6S26bkMWp/7bWk8Tt9em12O2V6tEos+12lkfAYO08SH9JG4QSliooq\nGLTjpOvE3QA4RLemQE/uXJ33/M9YsqUEk19f5HAh5WeS67dVNumQ850AT3btwopb70Xh3q3IrSLV\ney5Y8gWAxJFhRCLAjTcCRUXo88JTePutu9B/6+/kmtu3z7HotT+/h6GP/JnlcOE5+eR6CwkV1A80\nMXbXggwA1YW8eTt7mqf7EuZFdROqLKFv22wELCFKTyEEEwDkANleZXkl4PNzOZQUW1yyXTo8jz5K\nXk84gc0bOZJN1yGHUreCTAxqn4OHz+hT88INiMrnUAoGiehABaVIhD2vqACv6+w4DQPYvRu4774m\nd1+sD6pzchZUkHvb7ozmUCPWs3a+Vc3N5YJtEbLcmMcey2YuXMimv/ySvC5dCvTvT6bPP98O0Ry/\nYg6ZFwoBmzcD69cTZ004TPJixWJkmg52VZPjsb5J8zmfwamEU9cHoYjuCJ8FyH2kwgp1KwnF7PGy\nBEHJy50oOCwQgpJAIBAIGgReUOIbkGwQNw6kpbEV+JwbHoKMHZoFIC5J++1Q6l6QmBRblSW7sekI\neeMakuO6sup1DkGJH5X22H/V1RnLsRLnOmjgjLN/Patvwrwq1doPXU/uUOJC3jRDx93fvkDeG0aT\nFZTyMtj1tmonc5/RkLdJwzvYJc6nnNIDz3w0Fddu/KH6jY4ahbvnvowX33/InlUcyMRZy2dj8JqF\nwIsvAhUVJDfX668DTz8N3H47xnz4IgAg/61Xyf9Jbi7w4484a/lsAMAbA8ex73CHbwgxqdHRKjuI\nN68chr9PJOGiyUPevJvpY/uQ625El1x7XlQ3bQdbgDqUkjhlZt0yCg+c1st+b/rI/7BPj6F9y2w7\n1CimqPCZOi49qiNz6WzZwjZ0553kXnf88daBtQIuuyzxC2sR8hbQFHxw3QgMbN+s5oUbEPr80ulz\nas0aYOZM8iEf/kadGXyosGkCixeTvD3vv38Q9r5xQ8Vz1cOplB4lDuCwrEHZ5apwdtZZNW+cv9bK\nOdfw7bezaU7g7LLXup4vuQS4+moSJjd/PnPalZUdFEEp5vrfXbrVI5S5nonH45izughRw8T93P2h\nY246SqpI++Wdhez/XwOXgJu2HwSHJUJQEggEAkGDwOdN4pPI0vnlEZ2M/FJqcChV+Jn4tDm7wCko\n1cGh5FkMi3MoxUxvQWlEO06I2rqVrctXefP4PiXmFFxqMrM0BFmBxBFE26HEj7TT34IeN30NBKCZ\nup3nArFYk01Em6yTT8ONxvZtZed5yVBlnLr6B5zw+J3OhbdvBwoKgNNPJ5WF1qwBAHQqZknRn/7v\nY/jHZ3/HjFenAFdeSRL8tmwJXHUVWeDVV+1lJy7/lm17xAj847O/QzENlHP/G5g7l3RkASIuHeBk\nsoLUOKpLnp3raEyvAs9l3E4BiiRJGNqxue1a2FZShajBBCXmrvG+hrsVZCIzwO63uiXW+4wY5IAf\naVZHMapo6Jilkc6l308EpbZtEzdIO9z9+nnfWA/BHF4qXxGTOv+uvprcGz/8EPiCOAuTOpSOOIJM\n7zlw4UqHCuWW22WClWB90vAOuO3EbgBgO+L+z78jccVUHDBjxrBpeh8EEhPH003SZ1lFBZCfT6ZL\nSohDCThogpLuClfdvC/U4N85by27Vi89qqM9/dL8DXZlSZ7WWVbbQYS8HfYcend4gUAgEBwSqEkc\nSjy/bONGEDmHEl3+6y5D7XkxmTVWqlQ/jBgX8kadQosXE+t6CnhVSpIklkMpxu8z15BsqXENvdWr\n7cmaQt6UsKuk/AHMx0CRJAmThndwzAt7OZRow9DtUEpLgz8aYfsejTodSvE4sCt5LqBDiWQhBlRQ\n4vMZyS+96Fzo22+JOHTSSST05ZNPiNvIxe95HaDGPf43KipS3s/moVKUBDmRMxAgYtTYsaTj6yUA\nCBoVx3bPx72n9kqY705MzaMqEnQjjkWb9mHE1Nl4e8EWW4Ci+X/cnVIeg7v/bA1ZlQKNGCQutC2m\nqFBiUbIfVFDyoiYH0iEpKFk5lExOUMrMJOdh6VJg3jwyj3co8TmU+EqYAgfFIXJ9NUsjzxlJkqBY\n565XHhlk8u8tYivk5ZHXyZO9N8hfX61asWneAc3/L3HL+63wTkgScO+9ZDoWY8+1aPTgOJRc7ZNQ\ntOG/+5KXFgAALhzWvtp7D6V7vvV/IUkkX1VubvUrCJosh94dXiAQCASHBHx5ai+HEgBsoaNuQ4Y4\nRreiVljRg2OutueVcw0qXVEQ93IoDR4MdO6c0v4lE7moR4mOogJwNCTTJW497li2ZbVg8z1CTZrN\nm+Oc0aZNSvtZ37jLhlf6LJdYOMzOZTKHUloa0mJhdtihkLOU9lNPEXdNcXHDHsQBIFnKCnrdOMKR\nVnEV2j78kIySv/QSsHw5m79gQcK2NjVrlTCvtjwyawZ2ZOY5ZxYUkFLXrfZ/+4IDg+7qQB7XI7/a\n5RVZgm7GsWYXER95h5Jd8r4a0ZrPa/ffVSRvjc+IIZiZBhgGZNNAVNGg0HsrLyjNnEnEe3tnrA53\nsk7oISgoKXwOpQyS6wo+HxMa6DFTQUnXgc8+Y/OooFRP+f2aEiUhIuJkB8lzRpYkOwm7anLXG8U0\nSUhaMEmFP965FI8DzaxwSV4A4n8H7nqcesylZGLAAOdvRqf5UMYDKig5/3enfLDsgH130MrdNqpb\nC8d83jH5l6+mw//Zp+RNeTnJUXXMMQdsHwWNi0PvDi8QCASCQ4JkDiW+z1FWFSOOojlzPHMoRWUV\nX3YbnrDtmKzCpK4k6lCinacUG/BJBSVr//ZUcKPxXENSM5Lka+IOTDJq2YnYsgX49dfarVNHFFen\nrzjNsvYXF7Nz6RaUOIdSIBaBZJokrK+qii0biQDdu5PpFSsa9BgOBKYZR6ZHiODVry8C4BKUrI5O\nHADOPpvMS8GBdvLan70/qEUurRPX/oxzW4vm3KEOH5629pGxeOGSIdUurykydNN0VG6kghJNDl9d\nIl/++6Iq+R/26TG0akHuB93Ld9oOJQBOQWn8eGDgQLYx2kF3C0c0hw3vFDlEUN05lADyrHILSm+/\nDfzwA7lv0vueabLPdZ2Usv/oIxH+ZhGOGdAUyR5ckiXYDiVYg0mIRIAWLcg1FQqREDTLObfryFHO\nDfKhVtGoHVqMSAQ44wwyzYtRJ51kT/7apgf2BbPw7R/FWEwd025B8KCEvB34SoFHdyUDE5eO6AgA\neO3yoRjYPgcA0Do7gPeuYW2xi5Z8wZKe5+aSNtwFFxzQ/RU0HkQLRCAQCAQNgqPKG9ev4bvK5WEd\naNeOjABzjULJCgMyZAXXnHU3Ov75U8e2dVlFPMY5lGKxWoUJAYmWcvf+0SSUABAOs2lN5wQlruOv\nmKyxGQ+nkKCaFxzatiUjpAcAd8lm290yfjwbaafiHhXnrIZ0pepHUI9AjcdhShIRlPhwGBqaUFp6\nIA6lXojH454dbyMex4B2OeiU51E5DbBLswOwOzr1lharGjHqNT4Bt8XJ0+6vr28WHCT48DRNkROc\nhG5UmYS8KZyIs76oEoAroXQS+Gs+JpPOs2bqyM4gHe8Xw4sRU1QEYd3XUgl5cwuhNH9Xly7VHktj\nxBE2SKuInXoquzfSY16wgFQH03Wn4MCHvC1fThJKNwGhvT6I6CZ8ioy2zci11qlFOlRZgl+Pot/3\nlssrEiFCRX4+ub9mZNih7QU3uELfsrjqpa+9xgTASAS4/nr2Ga1K2KEDvhs8BptzWwMgoZ2795bj\nuneWks95l+5BcyiZkCTgeM6puK8yWs0a+49PkdGnTRbaNmMCcLQyjP7bVyO2bQeCVnXK1mW7nSse\ngg5EQf0irgCBQCAQNAhyEpcFP98h6vCdaGsynmQbMUVhgpKqkoYebdR06OC5jptknS36lbyDiReU\nVN3boaQaBlbmd8Ivi9ZCipKO17L8wuQ7QF0/552X0v7WF+7cCPvSskn4ytSpLLmsO/+Hta/bw3H4\n9SjkuAlTskaOAdbZ5MPfDhGemLUane/6PEFUMs04ZEnChj2Vnus5hLloFJW+IPa2bFftdy38092e\n80taeIemVR1HEsxuzGGff9dpoOeydsfpIOTmEuw/zdJrl9BWVUjIm1fe7t6tszGmZwGmnp1Y1ZFi\neDiUOu3bZovIrVtkYfzwzkxAr05QSpYs+eabyfVYiypvjQWVd3kNGECEhU8+YUUI6DFXVrKkxPz9\nkncoufPM3XADsGTJATyaxkVUN+HXFJzcpyXeuupIXDC0PU7sXYBhRevYQlVVRChat46cz0CA5VCi\nIYiUHa4E3rQtMGWK85lkiUR79lVgT8REAHHcflJ3xGQFmmnAkLnf7CA7lGJmHJos48VLj7Dnvf1L\navkhU+G7NUVYsd058FMVM+xwN4q/vBQfv/5/OGntT8jPJNfxA7t/cm5MCEqHPeIKEAgEAkGD4FUS\nGHAOYjtEnf797cnV7XsAACKKhgx/YmdFl1WAhmLQMK30dGDQIKBv8k4Uj5lMUIIE2TQQ0U0Eo2H0\n3rkOeowLYZvD5ULiDmbQjtXYmZGLaEYWNNPAv4adg/f6nZB8B2jj9JZbUtrf+sKzcNTAgcRdREdl\nP/yQvLpyKEUUFT4jBiVuIC7JrLKb3w/8/DMwYQJ5n6zj2Qh55xdSBrmo3LnPRjye4OainDGgNQqy\nrI7l2LHAtGkIa35UZDdPWPY//Vl4xefbue/gkmWXtG7P5h93HAAgPO0ZvFlG3FGvDzwFCzuQ63p5\nAcsRds8pN7L1ckhowqF07gWM84e2r3khDkWWYViipxufKuOFSUPQs1WWx5oEXlDaFyTLTQxvZgUO\nNI10xnfsICG5xcUkEfWWLYkbo4JJE0pATf/37fLtVGDIzHS+5wUleu4MgzwbaDl1XlDasQOYPh04\n5ZQDdCSNj4huwK/KkCQJwzvnQpIktMoO4rXTOnELRYigRMUcv58VwUj3do3a7N3Lpj0EpY8XboQu\nKTAiUQz49C0YsgLV1BFTPASlg+VQ0k07dJXSPM2XZOnaM+mlBRg37QfHvKqYgYCmkP/1xx8Hli1D\nZjMi3vn1KHLSfFhy3wkY0981cCIEpcMecQUIBAKBoEFIFrLBO2QcglK3bvbkpWNuxhkXP4lKfxrS\n/Ymj24YsI04bd3xSbhr+lgL8V2dEQpi06BNgzRp0/Hwm1j9+BpSdO/HOW3fis1dvRqyK66Tz4Vyu\nzlxE9cGoItXcygLpyVPhTJnCGqe++mskpoI7h5JDNKGC0owZ5NUlKJmaDz4jBtU0SSOSOpF8PuB/\n/yOjyQATNdwjx42QvAzS2du0lzmRTDOO5dvKMHvVbs91/nneQHLeDMPOI2EoKjqs/o0swIlFUdWH\n7VZYYdwfYBv5/nt7cs61d5GJgQOBiy8m+zNkJHRrxFwzDVx37v1Y+89/YxeX/F0OcIlraQeorCzV\nQxc0IjRFxom9CnDeEdW73CiKBJhxb0EpFWj4CgCsy2uPUZP/jbYf/MeZbJqGET/9NPCbdW2/8kri\nxqhrJ8V776EAHRAx3JXyaHgV/X+rqCDnLBZjzyFehDIMdo+PRNg98zAusR7RTUeVTHz8MXmW0txH\nADlP6ensWeLzsedRgLuPWsQliYQVAsTdRKG/01VX2ffqE++5Dq3Ki9CqYi9G/P0+NAuVoWPxdkz/\naCpZlg95O1g5lMw4VGv0p1U2Od768p5++7t3JdaqqCUoRaPAHXcA33+P/AKS4Nyvk+s2J80H+b77\nyArJcqcJDjvEFSAQCASCBsEtXFD4ucnKWpcH0vFba5Lg2duhxFV5ow4lOp1iUm6+AlJB+V48+M1z\nwOLF6PHqvwAAvp3b0W8nEUhiIa6Byh+X6xijigYzRFw7EcWHySOsEddJk5x5Hvj95KvZHAB4oe/o\nrnmOpL4J+/Loo+QYrQ7S6uIYfLqOzHiM5FCKRIDnn0/sSEajZBS+Q4dGLyqlWR3rc59nCbKrYqzj\n8J8rhyVfmXZgAOSXcQl3ufOoywoUKydYWiaXnJir8hfLIo32mBnH1xuIIBSvDCGqWMmSjRgmnzoQ\nXW+80vH1HbI5MZJ2WktKku+voFHz/CVDMHV8v5SWlSUJhhmHWccQx/OOaId7xvVE3zbZAIDNzVrB\nr6kkpx1AruHdlqA6YgTLg7Rvn8fOWN2JQzC0LRl2DiW3k9XLoaQo5F5I74NUUFIUp0MpGmVhwoex\noBS1cijZvP46eeVzTBkGOW9RLim8weXzss7/fVYl2Jik4G95ViL7UIiEWwLst9iyBdi5EwDQbvlC\njNrIQg6VuIEBO9ZixGYuh9JBDnmLGsyh9NH1IwAAlZH6qRj496/XeM4P05C3Fi3IOd68GYrPB0OS\nMbpdBkkqz4cb0ntPE/q/F9QNISgJBAKBoEFQFG9BSXY4lLwTY8cl9niiDhIeQ1aYIMOLM7VxKHEd\nheyINRKfnQ0lTMSjTXtD9udRPsk2LyK5RuaiigbTGlGNKip8svUdTz0FjB7NFlSURuFQCmiKs8Nk\njfyGTrTCtKiLxtrXqKoiPVaFXltXIxANk8b+1VezjiclEiFum1gMWLiwwY7FTcc7P8PNb9euWp5X\nWBufP6tLvjNfx1/O7ENyqRQUkFcvuIpCMUWFbF3nK/ZyuaX4JPQZ6YgoKpYWhfHOciJMGaEQQj7y\ne0jxOMYPYq4nyoS+BUDv3uQNrSB1CCVEF9QdWZYQjzvLi994XOrJr1VFxpVHFzqcSgFNJpWannqK\nuCh5p8133wG33Uby/7jh3aJNBDVZpbyCAmsBl0MpHmchwIZB7numSebxDiXq+jrA9/3GRMwwofGC\nEhUkKirIeUlPJ+dQ07wdSppmn/+SIBH4YoqK34utZ39VFRNA+QEmD2cTAMhuUfYAhbzphonfd5Qh\n7iEK69w5yk0n10pFPQlK2UHn/+nW4hCiuslyKMkyCaEuKYGqygirPrTYuRlo3ZoIqBS638KhdNgj\nrgCBQCAQNAjJHEpDO7E8M7EkDiWeFpmJgpIuKZB4EclLXKoB3qGUGbHEI05Qmr+a2cJjlusIQPUO\nJVVF1Mq3ZMoyAvQpK8vOxij/PllC2waCdygFNQXxOFiD1mpw/7Rur3Mlq2MZVTTkhLlqesny9USj\nbCT/AOX0ocfw0ZLttVovM5DYCY5YgtKfT+6R0PjOCmrARRclimg8fOJ5WYVqVSPvp44AACAASURB\nVACMqD7nMi+9BMyYATMrG7szcrGxWStUaeR6N0MhvDLoNLw+8BS8dMQZJBTB4pZxpHpWlmyScCSA\nhI0ATSrsSJAcWQL2VkYw5YOl9ryB7ZvVeju8sO5XFdJ5vukmUinr8svJB/37k87k448DnTsnboTP\nu9REYJXyXIMetOgDvX9XVDjdStTROWsWufdRpw1A3tPpZrX/rZoKMSPuzA9EBZvKSiJkKAo5hz6f\n06FEn1OaZq9T6SPivSHL9r0ToRDLKceHv3FCf1hh16pmOoWi2G9LUTTjBfKmAR1KL8/fiLH/nIeX\n52/EK/M3OD6rpOFnIOJvQJPrxaE0a8VO/PgHeb5LEhGpRv5tDgbd/j5ufP8p9P9tHlkwEAAiEQzp\n0Bxh1YcO33+V/NkiBKXDHnEFCAQCgaBBSJaU+7IRHfH97ceiVXYAhruxPmJEwvLdCjIT5iU4lPiQ\nNzp9wgnAnXeS6bIyFmoAIj4UlO7BG2/fjSM3L0UGFZSysqBEiHikxFnjUY9wzpJqBCVdVhCqIsua\nkBCAdXyaxkb7ARYKQff5ABLh3De0oos9Cm+HarmO0TCgGyYiiqvDGI0ChYWJnaNo1BnmcQCo6+ht\nmxzSyRjSoRnOnD4fc1btRkQnv31+pt8h5DxwWi+M69uq5kpqkoT3+5Dk2nzIW0TVsKEZV9HtssuA\na6+FqsjQjBhiimZ3iiLFZajyBXDvidfhmtMH2U6Sh87ojXZXXkjWj0TYSPykSeQ1RUFVcGijyBLC\nMdMhyjvy0qRIZZTd5xLcehMnkmu9baI7zkHXruR17Nhaf39jhT6/EsKy80g+NPt5Ul7OBAc6zzCc\noYG8oNS/P9CyJXMWHobopmnnBwLAhMiKChIavmcPETQ1DbjSCvPlHV2qap/zkGYJSpLCBKXKShK2\nBSB+Iytc8M2mcnv6xw6sCEhVP2flTO2dt9HiRRL6/ujb/8Nva0moXH0LSo98/jsA4KFPV+KBT1Zi\nWwkTvzbtrUT75ixEOhwz8e95G7Bgwz4s3Vr3sOYlW9i68TiwfBtxtOZVFuPCxZ/hhPf/TT70+4Fw\nGGcObIPmRhiyW0zKzmbTIuTtsEcISgKBQCBoEKpLyt0+Nw2qIuHDX7dhXyUnOHz1FbYuXuFY/trR\nnTHMcjVNvGAqLj3nAeiyzBxK7pA3Ov3NN8Df/kams7OBHj2wfnMRjO/nwdi6DS0qizFy029Ij1bB\nb1j7kJYGyRJ+FE4A0vmQN74h5RKUTEnGk1+QRqIhy2zk00tQOkgOpe9WM2cNFSnssDdrX+IS14my\nRtzDumnn9LFZuhRYvx5mRYVzvq47wzxqy/z5wNSptWrAV0bYsrSRnArUqbZ4czGWbCnBk1+vtkPe\n/JqzmXTpiE6k011enrAdAPj+6NPJhCShKI2MkOuKCpkKSoqGky+fDnO9czTap0iYceQEfNltOMp9\npBPxxU9r7c9P6l1gT18yvCNuPdXKsxOJkJw3pslCKoWgdFggeThAm6fXPoyKiqf7Rd++JFfaVVft\n/7YaCVTwSAh5y80lr/R+Hot5O5T27WNV3mioFR++FY2S95IETJvWwEfTuIgZceeAE3UOlZSQc6Vp\n5Pz4fMCqVeQz3v3GCUoVlkNJlxXbrYTychitWgMA9pVVIX7ddQCY+AQ43aKZOSys2XC57KbMfBz9\n77/VWqn+3LZl4US3zw1vLka5Nb8kFLND3XgmPvcTTn9mfp2/d+1u8qymTvEdpUTE2ti8DRa17gFV\ntcQhy6EEAJLXoBA/iCQcSoc94goQCAQCQYOQrOQ6ZXdZBDEjjuv/s5jNTE9HuI2zfLamyLhkeEcA\nwIJ2fTC38xAYcpKQN9oQ9WLLFtxw/9tQjhkFtX07tC0lIW0lgUxcP9wagff7QWupKJwNXo+SRt7r\nA08BBg9m26ROlY5k/0xJhmSJB91bZTO3FC8g0fevvgoMG8Y6KAeIJyeykVkqmNiJfa2OkRJ3CUqG\nATz+OEZuYolMAdij8Amjl9OmAcccQ6br0gifPZvkcKkFfN6jU5/+oZolndAqTrTfuHxbGd5dSEqj\n+1U28lqQZY1+VxNS9ltvlsCbhrn1aNcc6dZmIqoPEdUHuVNHx3qqIuO1wadhbucjUOknnZ7yomL7\n8/bNXWWyFYXkrho0iLyXJDZKLASlwwJ3SPHdp/REj5aJbs6aqFuNOA9atkwQ2A9lbIeSW1CijkA+\n+T0nKMUBlFZauZJkmdwvqEOJhl/5/eS+uMESlp96qmEOopGiu3Mo0Vx9zZo5Kwb6fOy+xgs9ikLc\nnWAhbxX+NFtcQnk5ygu74vkjzsJlx9+IzeUxa1kWPh/2cfmU0pgTSOHu7wkZHouL3XPqzHbOjUT5\ndXOJHbK9tbgK6VxBknF9ibPVp8cwYPvqWn/fgg378O7CLdhbEcHILnk4dwhJvv/XF+eibQlxYO1L\ny4JqVXPD0qXARx8lL6pBXYtHHFHrfRE0PYSgJBAIBIIGoSZBKWqQ5tqu8rBjfsxITNStKu7QMhUw\nPELeAgHSaE/S6adiDwB027MZAFAayLBL4iIQgGSJKUo80aE08MbLnE4jSSI5NSx7vSlJ9npxWkpa\nVR2V0sjGFeDkk4Gffz7gDqUu+azTmRDyZrmv7BBAgOx7LAb1m69RUM5yK23OZq4ZB4oCFBUBm8n5\nrVPIGz1XtRj59BrxTYWEDiOAf88jHb10y8G19IETMee20dYKyQWbqMQ6PyrvTqNJzRUN/zxvQMJ6\nfOeqwnIoZURJh+ObW0clhjJJEvDss8C4cWweX5VI0OSRXVGpV40q9HQt1bwdss4TE/rXsOThRdIc\nSn37Aied5BSBqNhRXg4jDny0aDO578kyeVUUsgxN2k0dSvTe2CX1ZOpNAd2MO5/p27aRqmzp6c5Q\naS5XUoJDyRI0qIj0dv8T7XsnSktRGtbx1+OuwNJW3bD6jAuwIr8Qn3cfaW+iQvUWlNY3a21Pr81z\nDm5hryu34H7AD4Dw+BXZDml7a8Fme/61o0nusge//hc+ev3/2PM1RSY+9xPumLkUlREDXXdvQOar\nLwLxON5+awp+eI6EFUYVDWrM9by+/37vDba2ztPUqbXaD0HTRAhKAoFAIGgQkiXlduPOtZSQs8Jj\nW7qsQNK5DnssRtxCwSARlJK4YlTOdZRfSdw1YdUHNcoEJTpmz4e8bS8ipdxbNU9nYsdjj5HGryzb\nwochyfZ6e0I62S/aEHYLSo2ABEGpe3cAwIK2XH4PWYYRiWLbsrV2RR0A2JzT0nuj7mOri0OJurlq\n0UH+01u1q+5Gqa7sepaVkDsroCHNpwJbtyatFAQAOyqJmBNXNWimNe3z2YJjWSAdWR5JwPn/gQpf\nEOef91d81mOE9VmKTTUqKB3A0taCgwcvHmX46i5K0814hdcczmjW/13C80iSgC+/BK65hs2j4b1l\nZYhLEnkGRCJMUALIs8ktKPXrR8qw9+nTwEfTuCAhb9Z9LR4nIcSZmeT8BAJkHn120ucJP/CiKPZ5\npQ4lnx5DpS8Iw+cHiopQHGIDDFsKOmDcZdMwr3AwIoqzOhwA23k0q+uROOmK6Xh22Hgcf+W/8E0X\n5jglK5WQUPrbbyfvTbPOVTXpQMZNx3d1zN9aHLLzAZ7en4lbadbgxtEbl7B9WbUK+OCDlL6veagU\nlyz6BMaK5bj/7vNx4tMPIC9Ugs77tgIAerTMRGYkhOC6NcSdRPn3v703OHgw8OabQK9eKX2/oGkj\nBCWBQCAQNAg1OZTop+4Oc8w9IuyxLUOWIVGHkp8LRaKCUkYGMHkykJ/vWK9w3zZ7OruqwtqWgkzZ\nsLcVpzmUuKTcc1cSS7jPx9wmmDyZNChl2W70xiXZdjiVRozkgtKQIV6n5IDjt5wvX63YidKqGGIt\nW+GeZ77Ek0dfxBaSZYRDVfDrEUfeCTtfhZv6EJRMs9ai24Y9lTUvxFFlJSP2cihRHBXeXnuN5Cv6\n+eeky++uItss1QHVzpGlwXxvJu4fczVKglmeiZN3ljGX3kUjCvFTh37YlUmS/zZLS7GjLxxKhxX8\nPfHIznUPm5WogF7D/fpwQ7EcNAk5lCg+HxOSrFejtAxxSCRcmjqT+MEKGvLm8xFB4OWXyfxw2OML\nmi4k5M263ioriYBEBSW/Hzj9dDIvWcgb50oOa37osoKrjmgNSBKq8vKBbduws5Sd03LOvXrs5Odx\nxfh7Ue5nriQ8+SR+btcHd594PWKKhqmjL8Mfue1QlO4qNvHkkyRU/YknyG/5yCOkmlwdKmtSobKw\nBQln7phL9mfZtlL7swuGMYdU89+XAvE4TKoA79sH9OwJjB9P3l99NXF5udmyBdB1zPjoUTz0zXMY\nvG2V/VEwxp7Nd47tgaO2LCNvzj235gMoLATOP5+EugoOe4SgJBAIBIIGIdUOijucLcZZwY8sJIkj\n3Qm+dT6HEl9Bhx8FzswkeSw4WpcV2dM0pGh211Kkm1ZpYFW18yLxDiXVEq80n+oMx6KCkiWKnXNE\ne1uIMmhCVtoQNgzguONIONhRR6V0bhoaxQq1+vP7y9D/wVm48a1fUdo8H6aiIkzFI0WBEY5AMw3E\nZDZKXKklceq4Q/h0HfjkE2DoUGDXrtR2jJ7XBuLjJdvQ874vsW53eWKlQY52tMpOKAS89RaZ/vBD\n50Lr1wMTJmDatY8ibjX2K+OSLbgpAT+U4Ufi1cGnAYCjahyFD3944LTeOLk3aaT7VBlZwRTdJ/S8\nz5yZ2vKCQxp6S/SpMu47te4uAdo/TVaV83CFno9HPv8dukcYNgBSkQywBSWlohymJEE1TZiRiFNQ\nooMdAHlm/fADcPnl5H09Jns+FNBNKyn3c88Bu60iEZmZ5DzQ/FKAI/l2Qg4l67y+fMWRkNOCUC1x\nZNmk64HzznMU+6gIM5F9e1Y+vu0yDIvb9GDb698f7z7+OooynAJSuZ/LXSfLwJo1wBtvkPdFRURM\nAmrtUlqxvRRVMdJOKMgK4I+/noI5t41Gy6wAftlYbA8w2M+Kzz9HzjEjcO7SWfZzpWjDVrZB0wSe\nfx745z/J+yeeAObOBbZvB9q3B+68E0duWQ4A9oAXAPy5PbuuR3fNg5ptXc+rmOgEgOR6dMMXJxEc\n9ghBSSAQCAQNQk2CEh345ZdbvbMcu8pJw/DPJ/fAK5cNJctIbocSJyjx1cSooGSaxKUUCjkcG5kR\n5mJJi5HGffDWm0lDP+h03PBJuWm1Ns3HVWtTlASHks+vQbYabHFZSXQoKQorO90IcHciv1i+ExGr\noRuhFd1kGXo4AtXQEVWYuMG7lRzwQhDNI1VaCvzyS+oNb8NoUEHpprdJ2MDqnRWeIZYO7r+f5Pb4\n8kvy/vHHnZ936gS8+y7eaT8UJQESRvGR1gbv9RuDWb1G4rg7SH6KztZIdGYgUSAKcaXbZVlCMyv8\nKMOvpp4Xh3a83nzT6YYTNEmoyD5peAcmfNYBen05yrgLHM+lXzYmScbsEpQAUphBiRsoL6t0CkoZ\nGcSN41oeqnrYCUoxw8SAX78nYYN/+QuZmZbGKrvRCmKaxoRyfqCCOpT8fozqng/Z74dineffT5kI\nnHYawjF2T13PuVcfOoOEcy9s25vkwZo7FwBw7hHt7GX+cmYfHNu9BUIaGaxa03Ows6oZQIQwKiiV\nlJDBkjlzajz2snAM46b9gEkvLSCHqEhQZAmSJGFnWRgVER13zCQhZwFaZXTPHgDAUZuW2nmiVGse\nAOfAWSRCQvKOPRZYSyqFxr/6yv6Yd16n52ZjV0Zztl7z5mw7fpbA3NMtTI9dIIAQlAQCgUDQQKTq\nUNI44eCkp77HjVYunGGFze0ROre2EJVVyLEocRPxSTypKBSJsESbXIn37DBrWDoST2/ezHLjeCTl\npuKSoqks5M3DoaQoir2eaSWzdghKjay8rleeKzpyGuEcSvFIFJppOEQkfnpJKy4PBN/4pPmt0q2R\n3hB3zqujDiFvfHhAqqiKhEiS5KgAyLXz0EMpbSuim1jWqisuPPcveG7YePyeX4iK199Cej4JR6IV\n4/jKPZTLR3Z0vKfJwIMebqak8B0uvgKVoElCQ9W8rqfaQG/TIuTNCS+2Jz01Vm40vvNNHEoGqXyp\nKORZ9MYbpKIb/b90C0rhMLBpEzBhAklQ3cTRjThyyqwE1/ScpKWx5yV1v6gqO7fugQqatBsAAgEo\nUeLqocU+wjoTTmavIi6oc4e0w8VHdgBgVU276Sa7GikfinzhsPa4dEQnVFkuXBNSYmhXURHbz5IS\nEgp33HFAWVm1x15S6QyPU2QZWLwYWLAgYVm7yqj1PUfl+xCyqtM1u+MWtiAvLu3cyaatfTE5oUjl\nBtgKctLx/NCzyZv+/YnoSWnThk3/+CN5HTUKeOEF4MwzSf4vgcCicbVsBQKBQNBkSDUpd5rfyj/k\nSo7s40bMZde2oqpGrNuGkRjyBpDG6RZS+h2GAcyaBQBIj7FSvelRrmzvjh0JDiWZE5RUK8GyLSIB\nJNRp0yYyz9o/WVMhW58bksws/HQ/Gpmg5A4lBGCP7DoFpQhUU3eISGGVHFepPx1r8jqwDfBCkKoS\nhxgVlCqryXO0axewfDkR9Gopvn23pgg/rtuTMH9HaRXManIkyZJkC2ie8PmSevRIvhxYdcL5HQeg\nLEAa5rzr47mLB+POsT3QOjsxVDA/0zmPJmD1e+RbSgovKO1JPBeCpkXE6jCn70dCboCvMFiDU+8w\ng3cGJnUJdutGXrlE/aYkQzENlJeFYMiWoLRpExHTqaDOC0o+H1lG10m46iuv1PORND5000TuHqsc\nPX1e8IISFTYMg51b3sWlqszNBACBAGTr86lfrEJZOIZwLHGg4NGz+0KSJPx234l4ylVt0/17H9Ot\nBV65gIgmUVUDClxVTYuK2H5WVJDQMoC1O5LgrkaqyhJJcO0RVmaHvFnPwhZBBb1aeLgR332XTfNu\nJWt6w3Y2wOA3maDU8y934rJMSwBbu5aIntWRmQlccQUJ++YdTILDnsbVshUIBAJBkyHVEW86wl4Z\ndXbs+dxK/LbaNQ8iRkOvPv/cKSjxFbj+9z/yGo3aSbB9BmvMdSjl8vns2kUaX1Om2KPRfEU4e1pR\nmEPp5JPJqCInfCiqYgtRhiSTDgR1StXBddPQeEW5DO5ARjPtHEqahng0CtUw2DwAIR8576Yks98D\ncApBNDQhjctFBNguMAczZpCS3JJEznEtztWklxZg416n++nVHzdi+KOz8cycdY75fD6UXWVhVIR1\n5KSx/By9W5MwlquzyoDPPnMeC88FFwDXXmu/jXnkWVEd120arjmmc0ohbGnW/0S17qmEL+P2jx+l\nFjRJqPBLBfm6Qp0ZtbrWDjOSPspyrWTo3GCEKcvQTANGZQj7onHyXLIGNDwFJU0jy3TuTO6TxUnC\n6w5x5qzajU+XbgdAqryN/uBF8gG9z0ejpIomLyiVl7NnOp+4nD5XqENpzhxI06bZH/d7YJYduk05\nuXdLewAlO03jhFSCZy69o45CcVYu3jnjaqd7ByD7StseoRATnGhOqCTQCm72oXDtnHevHu74zA55\no0m/YzE7V5SDKVPYNH/9WIJSeSVb5/YjmdNKWr4cbT/mxCg+JL2RDX4JGjfiahEIBAJBg5CyoGS5\nMfjEmYCz+hvvUHr98mGI0vw+Z5xBRgoBp0MJYA1VmhwVQLMqFv7mYOdO0hCbOhWS1YAtSmM5AhR3\n3iSAfZdLUKIhbwYkkpuJiikzZqQcPnWgCLlEPEliSXrtc5yWBilUBZ+pI8Ql4qbTatxgywI1C0qz\nZ5ME3e6wLN7BVQ/hge8tIiPFX690JgKvjLBjvuej5Vi5owwtMkjHIN2n4LMbj8bSGwZjyt0XsCSn\nQGJC8XvvJb+pRU2CUm0osvKIbSupqmFJDl5M3bo1+XKCJgGtUkjdbHWFuuCiQlBKChWBv19ThMWb\nuQ67lVdnr8L+9yRFgWIa8OtRhGWFCCHff08+LClJdHdQQQkgooWrkERT4bJXfsENb/6Kb1buciY5\nHzyYvD78MHldv549L8Jh4BYrtKtvX7aOLDsdSu3aQXLlJgy7BKVgDf8n7ZsTF+34QW3ZzIICXPf4\np1jTpqvz/goAd98N/O1vZLqykrlwq6q/Z1e5B86451y/ts5E17ZDiReUKivwe4uOuGjiw95f8MEH\n9mT8qafId3CuJG3qo2QwpCbWrQNGjwaefRb473+B7t0bXftF0HgQgpJAIBAIGoRUBSXaaNJdI4R8\nyBu/LUWWEOMFjJtuIq/RqLPRRx0bhYW2DX2YVekkAT4UKzcXM/scj5869Ldnae6QN0lijV6XoHTs\nHwutNwoRUKjwNGwYMHCg9/cfJNzRYIokIWKFCkg0BCYjA2o5GbmsUllHKGLlcnBXf7MdXAATlGjD\nPxol52/hQuCbb5xfzruS6kFQoiGX7o4Fn1vD/mrrRMSsBN1Z3QoTN1hU5HzvSqQb80ju7a5gmCo0\nnKlHy8zUV+Kr7qxeXafvFRw60FDNgLp/glKnPNIRTtvP0LnDgUteWoBLXuRy3bQjiZyXLF5rz4or\nClTTQECPokpSnQLDpk3A2Wc7nSA05A3wrEza0Py8fi/63v8VSqtiNS9cDzz82UrohgFDUYE772Sh\nxDTcyjCchTbGjSOOVj7kTJKcOZQ8CEUN5Gf67QESr+qaPC0y/dg4dRyenNjfMV9TZUSNOBtp4fnk\nE/I6cSJzBoVCZIBq4sTEZwbYvb1w71YM3bLcfvbQfVzx4EnsuxWXQykahVZWiuUFXfBDpyRtiX/8\nw56UVq4EAKTFwrj6TM7F9Oab3usCLNE8AEyfDlx9NXDaaaTy26BBydcTHNYIQUkgEAgEDYI771Ey\naPST23HuCHnjtiXLEiKKR+fHHfLGh0ytWOH95e4wJgBSZSWGblmG835jlVHsUDka8ibLnoKSpCj4\n00/vsGV5h1JjxBV6JsuSLbgYEjmuYsUPXxlxE7Vtx0aBJeu4FNMgOSa8UBSSG4SeZ10nAh+QmKCb\nDwmsh/BAmkNDd6lmXk6MzvkknIEmdK1plJksHK1xkZFdWtS8HQ8yA+R8Xndsl9RX4jtXVqJZQdOF\nugsD++lQuuuUnph+wSAM7dS85oUPUwwzbnf8HSFLp5wCAPiy+1HYkk0Ej7hMHUoRRBUfcdkUFDhz\nsPEPO77KW3r6AReUpn27FuURHSu2pViBcz8pCcWQU14MxdCBtm1ZFVYqmlRVOcPYeR57jD1P+YEK\nD95btBW7yyO2KFOrAgccPkUmzwyvSnz8oAd1Kz32GHDjjcB77wFjx5L8jKNHA59+CoA9ly769XO8\n8sHD6JBrHU+HDkA8bjsOVUMHBgwAPvqInZuSEmhlJSgNpKOgPPU8eZ33bcNzHz0KPPEEm3nppd4L\n79lDQg3XrQN69Ur5OwSHN0JQEggEAkGDUFO4j2YJRrTDb7jEDT7HgaPAiyQ5Q6wokYizU60myesD\n4Le+RyUuQ9mzB5mRKkxYxhw0PsNq9NKQN0VhziNe+HCISzKQn08azY0Ut0Mp06/ajh7dch39WmIg\nrZSMvp4yqre9rD+bjGRqhu50KPFCojvXRSzmnRMDcIa81TGB+dCOzUn1HrDcMhv2VDrCDKIeoWnT\nziOjvS2CSupVllwdDOr04PHVIqn2C5cMwT+tRLE3Hd8VD57eG6dax5IykycDb71Fqg0JmjRDOxIB\nqG1OsIYlqyegKRjXr5bX2WGGbpjYXc7uVzQkFQUFgK7jvX4nYnumJbYrCnxGDH5DR0TViEDCiySA\n8znl8wFLlrB4Y/d98QBRnynZt+wL4YmvVicU2gDIcz0jZIlmublMUKKv5eXJBaXbb2duYg+HUm56\nosA0aTgpGGHnI6olflVGVDe83Tn8b0rbAb/8Ahx7LJletAh4+WXgu++Iy6eiAgPvvA755Xsxvls2\n0nJziHPK5wPOPx+QJDu8sllVOfDbb8BZZzFBae1aKKEQtuS0xJGblzn3JZV2Br+/H31EXgcOBIZz\nuZvKy0noZefONW9PILAQgpJAIBAIGgSvCmI88+4gnV6aT8Ew3YKSd1Junyqj3J/YeU9oYFYjKBmy\n1fjjG1hcg7E4mIncEMvxo1GH0ptvkkTNsuyZQ4kXlyRVIUnDn302cV8bCe5zXpAVsEPeqjRybvZy\nuaTQgVVzy8hlIVZJHUqqSkZo9+0j72Mxds7dHSe3Q6kOgpIsA7ef1B0AkJvOftulW9lv6eVQCvoU\nPDGhPz44u7N3w3zixMR5rs7OzGuG4/Urhtrv7ZHnFBnTqwBnDCClmgOagklHdazxfyiB554Dzjuv\ndusIDkmuGlWIr24eha4FtQiLFNSKx88hVb50M467P2Th0kc88g2enEXCSjcUk/sYrewYV1WkWyXs\nw6qPODErK73Dsd3Tup6aO7Ieofq/V52EujL59UV4Zs46bNhTaW2bbVyWgMyo5U7NymJC0u23k9e9\ne4nzKxgErr8++ZcMHJjgxPSqiklDOeuaz86nymQQYsoUEqLn+MIkIiHvXj37bDb98cfoMOu/+PaF\naxCoqgS2bwcefZQsT3MwGQYU03DkPbK314oIv1uz81FQQZ6p4y79JzkPmSncB+h2/H7m7nrxReDL\nL1mo3I4dNW9HIHAhBCWBQCAQNAg1NeBaZgfQrSAD64oq8OvmYvy+o8zxOe9Q4kPeApqM4mAWEpgx\nI7ESjL0Bp91d5wUlKiRxOWiqtIDdYAOAvnlWZ+C554Bly8j26PZlmYkfDodS8vwOjQUz7haU/HZu\nlh86ErfM1mwud0VeHvDDD8AvvyDkZ4JJREkSeiDLwNy5JAk34HQoRSIk18TddxNHkjspd4ohb5Vc\nCEo8DvitkeiKCMsJ8s3vLKE2FZTcOb7O2boI7Yb08f6Su+9m0+edBxx1VEIDPjfDj35tmPg2ZWwP\nCAQNRUBT0L02ObYEtYaKdYYZx75KZ4jr07NJ9cgvlpMOeLl1PzQCAeRZCZrFEAAAIABJREFUgxEh\nX4DclAwjuaDEC+fBIHuGrVgBlDmfiYcK9N5Lw95/+mOv/dnu8ggyI5bLKCuL5dw7/3zyev31QOvW\nRIirLmfPffcBTz/tmKV45Kyj+1BXvUxTJMT0OPnNhg51fsgXAXG7nW+4gbwWF7NQM+u3zoxWQdm9\ni1wbd91FPqNV5Lp0wdqnzsGrY1g1Ntuh9OSTAIB9wWwM2L4aEUXDivxCIg7R3EeyDLRv730wNA9V\nfj4JyTv9dKB/f7Lu6acD06YBLeoWpi04vBGCkkAgEAgahFSScnfKS0coYuCsGT/iT2/96viMz6HE\nOzUCqoLioEdH6tNPgb//nb3nRwxd+ZwM2oj3+9lyXDLKkOaHZrIwqWDYGjXmXUm8iEQbk5wIct7x\nLDysseIWlNJ8KnaWhtGvbTb+PfQs/OVv72FxG04YSU8HRowAhgzB9zvYSHqEdyi5k3LzuB1Ks2cD\nf/0rWY4XkWoR8vbQJyvt6TjYdcdXc/v3vA32NA15O2NAawCwQ+Tw8MPJ8yJ17Mim33oLmD8/sXMB\nZ4fGXZZaIBAcWtBBkZhhJhUkHvuSOJVKLYdSLJhuD0ZUaJzgkMM5PZMNdqSlEYfSvn1Anz4kIXIq\n6DrJvWQkFhyoCQlUcKk/i5JhsDD2mGHighf+5/g8M+LhUAoGicByzz11/l7N9cz488k99tuBZTuU\nACb6UDiH0rLtnPgny8zVyhfm4JJ0K+6E3T/+SJK1b9wIORZDtyhXBZUKSrt3AwBMSDhlzY/wGzEE\nfSrw9dfkeVpSAr1tWyxuxgSl/x0xhm2HCnTnnguMGgV8/DF7zhYWAn/6ExGbBIJaIlo7AoFAIGgQ\n+KTcH18/wnMZVZETqrtR+MYhbQwW5qWTpNxpGZ7rYPt2bgPJHUK2QykQYNbv1q3tz0Oas0TwgDkf\ns+UBp6AkSey7uH0eOahT0u9vLLhzKBlmHEUVEbTKDiCmaNjRphD70rjqYVyDem+QzI/KKiIq51Da\nwyULdYtCNEG3ppGG9okncl9ukIbzJ5/UKuRtRxlzpWX4VdvN5kieyxGzHErnDG6L20/qjsessBb8\n8UfyL8nycMR5wLvyhKAkEBzaZAaI8FNaFUO3fOczZ2yflo73NEQ4xhWMcIRmN2vGppM5lPx+IgzQ\nsKNNm1Lb0W++IY7JBQtqXtYFfUzrHlUq68r2UnJPjuomQpFEkct2KOXkMEHJK59hLXEPYl07urNd\nvS5Yx+T1PkVBVDextyKC99e7EqZv3GhPbinnquRFIix5eGUlE5QssSYqq5ACXLgcQBxDfEhdeTmb\npgMdf/oTAECOszZTTkUx+87sbJjFJViqMPEyp2dXtp2ePYlj6tFHqz9ogaCWiNaOQCAQCBoEvnPd\nv11O0mXceXwovCuJhjWl+0mj00j3yKFEVmLT1TiUaMJph0OJC0kI+ZIkuuUTcfMOJTrKzH+/ezSz\nEeJ2KH27aheiumlXxDHjcWzL4izw3DHtzszFY6MuwaQLH0UkWXifWxSiI63Nm5NReL6TZZqkEX36\n6bUKeaNJxAEgJ02Dan0nzd/hJmKNNgc1Bdcf28W+plBS4rl8bVCEoCQQNBlaZpNnws7SMNo3d+ZE\nixmm49n1TedhAIC9HVhlxuI05qQt8SUJj3I/s8JhoHdvksutZ09yT/ziC+dgiRvqTNoPUYaWs69P\norqJUCxR2PcUlPazqicA3HpCNwDAWQPb4LHxZKDgwmHt0SkvHRMG1604hqZKiBombn5nCf7x676k\ny4U1P4povsFwmAlKvEOpXz/MPPY86LS4RytXMnw+ZJ8XlIqLHYvJlpts1nX3IJeG5t97L2AY8JWX\noSSYiVMvITmRlB7dgSuuAF56iSyXk1Mv4p1AwCNaOwKBQCBoEKggNKZncgu1IkkJZd296NSCCEi3\nnEBG28xAEsGHb5yrSSqPwZVDiQpKXIO21CvpNwD8+iv7Hl5Qog36YBBnXPwk3u53olMsaaSc0sfZ\noI0ZcUR1k1SeARGUSgKZWNqyCxa07cVyMFjMGD4Ryzv1RVjjRltPOIFNJxOU8vKI/Z/vRPDhZrUI\neYtwgpJPkT3zaLThKmHRHEo1Cj7Tp6f0/Tx8rq/aVHgTCASND79K7k9Pfr0G//rO6WCM6CYqwkws\nWdy2J7r934fY3ZmVWi8OMnfnor1JBBv+2aQo7D6YkUHC2LZtI0mq585NvqP74fKhotgt7/xW63Vr\nIqKbjtBjCk1ajuJi4NpryXQ9iBxj+7bCxqnj8I9zB2DiEe0AAIUtMjDnttHIzwrUsLY3fkVGVDcx\nb+0e7En3HhgDgLNXzEFRuvXMnzYNePxxMl1ZycSlqipsiwBpsQjJkeVql9jLAU5BacUKx/mRLIdS\nRX5rNKuwBkLatbPXKfen267h1u1aAC+8AFx2WS2PXCBIHdHaEQgEAkGD8dOU4/DMBckTayrVOJR4\nsgIaNk4dh+N6EEFDSiY2JHMoubAFJZ+PLcc12HZk5VW/Q7LMGoOyzCp+ZWXht9bdcefYG+tUpexA\n0zEvHRunjnPMixmmXS1HN+KAJOHsi57AZZc+7jmKnBXUsCuDlDAvy2pOxCKKe3kqKGVlAR9+CDz2\nGPuMzylRK4cSs/9LkpSQDL5Hy0z0bMVC1qig5FURyMEI7zDN6uBddT7hUBIImgyhqFMYieomysLk\nfnZCL/Jciqoa9nTpaS9TEmCOzv/t5UKiVq1i0+5BELegRItFlJYm37n9cPlErPthVaxhHEpV1nkb\n0zMfmiIhu6oct8x/kyzwxhts4UbqmuEHBsJaAKvueoTkLDr33IRl5biJSi1AnmWzZwMA4pWV+Go9\n+e2++mW9Mzycus7oNZCRwc4DLyiVlzt+29uP6wwAMP0B/NyuDwmNHDLErhBYpfmRESXTabmNf2BL\ncOgjWjsCgUAgaDBaZQdtt4sXqpKaoOQmabrvJA6lhFxBdDlN8xSUklYt+/OfE79LkpiglErp3kaO\nbsbt34wmI9UVFdMuGOy5/Gn9W2NDc1LuPhxMZzmpAOfvoShMUPrpJ/J6773AhAlk+quv2LK1cCiF\nuVANWUrMo+FXnXm6qKBUo4PI/Vvm5wMXX5zSPgF1z9khEAgaPzHDtPPznN6f5d877aoz7el9XDXS\nCj7kja/4lsyhFAwSgaA2glIdRJmGCHWjRA3DFqouG9EJAVXB+OWz2QKhEJs+BAQlAFh61sXAmDHM\ngTxsmP1ZyBdAmApGVt698r2leG4RqTIa/efTOPaPXxK/hIaSFxSw35Kv8FdW5qgoN6wd2bYeCCIm\nq4i3a0c+t86nmpGOlQWFOGnys8DIkXU6boGgNghBSSAQCAQHjVQdSm74hN9o145N841SXlByra9L\nVmdf09hy3PJ8YtX5HfqzFWlHgBc8ZJmUkQeAls5ErYcqfktQoqPXAEmg7sXkUYXo17s9rjlzCp65\n9e9OQYn/nTQNePFFYN489ptFo0D37mQ6xo3g79mTcgejinMOKHKiQ4leY9tKqnDrO0vsZN01Cko+\nl6i4axfw2msp7RMgBCWBoKmRl+FDYR4Jh44ZcduhlJfhR16GDw+e3hvZQTZIsTsz11633MeFM339\ntfcXKAoJkZo5kzxrqqqIUKBp1QtK+5FDySskrb6I6qYtKAU0BQ+e0dtZoZUXlOohh1JDQMMeKXfM\nXEqeOR06kBkFBTCOOAIAUKkFmQMpKwuQJFTsK0WlJSaO3LgE3fZwidavvNL6EitknP+N3YIS/zwa\nPhxYtAjFXUgFVrsJZZ3PtJxMRFQfVjdr2yQGuQSNHyEoCQQCgeCgocqyZw6lu0/p6bE0w5F6QOeS\nfibJm+ROPh2lHidVZSXkkghKX3YdzlakjTq3oPTQQyTPQe/e1e53Y+GLm47GzGuGJ/08oJFjW7Ah\neRJSiqpI+M+VR2Lz6LHYXtAhuUNJVYkoM2oUy5sBOCsZ0ZLF27aRsDfdu1IbT14Gy9/UKjsIyZWX\nQpVlxAwTD/53BT74dRu+XklGizVFJom4L7yQ5PLwu6ruuN/XkrRqnHkCgeDQI+hTMPu20TihVwFi\nhokyy6GUHdSw8J4TMOmojmTBN96AmZaGzTlsgKE8kEIhCSqqTJjABCVJIm4YV2JmB/vhUNpTHqn1\nOqkS0U38vH4vAFIE4exBbfGPcwewBawQLQDVhqgfTLxCo5dvLwX6WdVB9+xB1Ko663AoZWYC6enQ\nNqxH0MoZ1SxcjrDKPVfoYAp10PKFIXhxae9ecj1cfjlw1llk24MGwUgj19SK7aVYtbPMFpTSc1Kr\nSioQ1BdCUBIIBALBQSOZQ2nDXu8KXRRZkjDzqnuIVZwXHfjGOScsuL9jX5gb0fUSlGRvcckWGXhB\nSZLIur1IMtbJowoxvJCNTDdGerbKwpCOzZN+7pX/J1mYIXUEqYqVYL06QYnCj0a/+27i/D17gGXL\ngAceSLqPlG4FpDE/7fyBuOroTgmfu68xWhXOp8rAoEHAm28CTz7JwhYpfj9w/PHAmWeiLgiHkkDQ\ntKBuFc2615VVkWdPVtAl5EyciNLdxQj5grh13C1Y36w1dmQmycvnDnmj+HxMcElVUKqDy6chcidR\nIrqJf80lyczt+2FFBbcAd89tpA6lymji+Znw7E/AsceScLL778fsnSRMkU+GjcxMVAXS0OKzD/Hi\n+w/a6/p1rvgEdTRTdy7/G/OCUmUl0KkTcfh+8IE9mw6enP7MfJz81DzM2R7GrF4jIbdri4Am4/aT\nuu/HkQsEqSMEJYFAIBAcNBRZcuS3oVxGR3qr4ccx40nlEj5Uim+c84JSLIYpJ93A3stcyJuHoBTl\npxVu5NRLUHLl+rnrlJ54a/KRNe5/Y2LRPWNwaTXnfEzPAhyZRCSjOYts4SZZyBsvKF11FZvm84nQ\nTgW1+//rXzXuezhmoltBBk7v39oOy1tyH6s0R4UuGiZJO1A+RQY2bCALVXoImH4/8M03JHl4Hagx\n6bdAIDikoP/TqixDN1hS7uxgorumWTq5D37Q53gcN/l5FGUkF/BteFFF05ig1Lw5cakko44OJd0w\nU6qyWlf4CpzU9epwJfGCUiMtYkFdaG4MfwCYNw+R445HmVUVtjSQYQtKelo6tsTJs21xG+a4zolw\nzxrqyDUM8tvv4xzBO3Y4v9BVYRVIzBf4Vnk6Jp92J8w+fbHq4bG4/tguKR2jQLC/NM7/XoFAIBAc\nFng5lD66fgS6FlQf9y/LAOIgjW5eUOLdSlyY26aiCuzOYNVOHEm5PR1KrIPw94uOYNukYolpOh1K\nhzi5GX4UVFNW+YVJQ5LmHFKt86BIHoJSModSs2Yo7jOQTHsJSlRk3Fd9yF1UN/Hlip1Ys6vCMT8n\nje2Dal1jdFfCoQhmfPQo/EuXsBWooMTnm3DnUKol7tA7gUBwaEPvgaoikRxKVTHIEpDuq17IuXNs\nD0fFt6S475dUcMnNrV5QqmMOpZmLttrTXfJT2L9aUh5hz+MgDQGmScenTnW6lRop7nB5yn9/2wYA\nKK2KodTKC1XuT7ND3r7YWI4yK8yxKD1JpbUWLchrLEYGMGZzCcs3brQTewPwzIXk0pMwywrnzsvc\nv3BtgaC2CEFJIBAIBAcN1UNQUlLoiEuQSEMvGiViwEBLnIhydvKnn7YnjagOU2KPPIMm5U4S8sY7\nlBzCQgoOpUMVTambAEIbtcRt5hKU+LwYrs7OMtqX8BKUeCQJ+MWjMg6AHaVVnvN5FFmGbsRtkSn+\nxx84ZfV8SBdcwBaiuStuu4014oUgJBAIOOijQpNlbCupwrTZ65DuVyG7e/Yu/KoMU2b3tpm9j2Mf\nfvYZm65OUNqzJ/kX1MGhZJpx3PnBMrYJI9EpXBdM7nlOQwIBsGqv9Bl9221ENGnknNTbu9DGLe/8\nhoc+WYmyKh2G1bbonpdmV/PbHJFRYSViL+PExPdv/ivbSK7l+g0EWM4snnPPZW2OrMS8SHKSZxSf\nV1AgOBA0jVawQCAQCA5JApoCt+M+FX1GlohBCYsWkRlhkvTS4Vbi0HW3oGQ1xDSNuWF4QYlzKDkE\nEi+HUhMRlNzV0Y7qTBq7yfpK/71hBG46vqvtxAloCglx4EdSk+VN0nWU+62qR8EgO6+8ANWTS8z+\n9tue+yBZmZ2uHd05yVGR49JNE6e8/AROWv0jTPrb89fKe++R1/79gT/+AFauTLq9mrhwWHv85cw+\ndV5fIBA0TqiArXLie3m45sIBbnfnk6MuZm+ShWzLMhNfmjUjOXViMZKYmRehgDrlUPqjiLmD+rXN\nRsxgD+Jnv/sDny3d4bVajcS4EPbyMDs2OwQ4GiXHpijAHXfU6TsOJH3aZOPiIzvgiQn9cc84Z7GQ\nl+ZvQMww8X6f42GqKkpPPQNxq51RGshAzPo9HBX+Th7Lplu2JELR9OlsYIW/Bvr3Z/ObJ4ZMJhOU\nWgiHkuAA0zRawQKBQCA4JGmWlhhW5M4L4IUsSUSIookrLUGissLbsTLo9mvQad82+72dF4kXlDjh\nSJddyVEpVPAwDNbwayJOFsWViPviI0lZ5JZJQuH6tc3BLSd0s99nBTWUhXVnw5cXlPjpP/0JOk18\nHggA6VYFJL6yWnY2m/72W8/RbNp56dEyeYikYuVQGvnJa3juo7/Cb1idnFiMJFXl0TQgL88pZtWS\nR87qi4uscycQCJoOu8qIY0jzKFpQHTSZ98Ln3sIlEx5ESEsSXuwWlKhDKTOThIetXAm8/DLw2GPO\n9aizZf36lPdpeykZhJl5zXD0bp2FmOVQMs04pn6xCte/uTjlbfHonDD1n/9ttqftEOBolD1TL7yw\nTt9xoHn4zD44Z3BbXHl0IR4b38/xWcwwsT63LeYs3YoJl59qJ93ezeXMCvnY723m5gJz5wJr1pDz\nUFoKXHQRE46GDmUb79CBtXGGDEnYr2RNpbyM/QvXFghqS+3rSwoEAoFAUE80S0tMZppKyBskK7cB\nFXgmTQJuvRWLpGyMSrKKZrDRUrtym6oyQYlzxxhKkpA3XhRpYg4ljWudxuOs05TqaGd2UCUJTPO4\nakbuJLOUF16A3v1oMu3zEUGpuJi4lSg5OWz6t9+IoNSxo+M7abikWs1voLnCKgMxq5NGE6Hy7Gfe\nJIFA0PTh3Zy9WtVcop06lJ4LdMH3hZnolZvknsrfxxSFPJsMg7hY4nGgsBDo3Nl5nwRYLqJ580jl\nyhSosqqXBX0KSTJu3SM3chVWY4ZZa/Eslix0bscOYNMm4PHHvd04hwhutxk9Xk2RocgSsmTyvjjI\nrotKLYjnx9+Eyp1F6OZTgSHHJG44FCKvfBujJRduN3p0wip8qOUXNx2N1TvLsXJHGVpnBxOWFQga\nEiEoCQQCgeCgYedV4KgpHwVgWb3jICV0P/wQuPlmbHzocexNy066ToWf2c7jXiFvnODBh8clzQPU\nxAQl1dVx0KyGc6odijSfilDUALpzpYrnzWPTec6y2SafxyrN+m2oUwlwOpQAz7LZdDTcy9V2xchO\n2FZcBUWWUcmFpQR1S1AyTeC775wraYkCp0AgEPDw98pjurdIutybVw5DKGrAsJIvfW0lTe7fOd97\nBbegBBCXEq0GtnIl0KMHsH07sHkzcOKJwCOPOKulpUjYqsAW1BSSZFwnz8F9lSwP4XsLt+KCYe1r\ntd2oh6D0yvjuQOvW3JeHa72/jQW3oBTVyW9Ln5PP9x2LGet/w8r8QkjW7xnWfFh4+rmYtXIXPm6W\nROzZuZO83nIL0KkT8MYbQLt2wCefAF995cw1aEFdX0cWNkfPVlno2SoLZw5sUx+HKRDUiqbRChYI\nBALBIYmXWJFaUm7LoVRYCPzf/wGSBFOSoMSTJxbl8xgofN4kz5A3br/4MCwvQekQHGX1gh91P75n\nvp2kO1meBjeyJJGOU2EhS6JN7fqA03EErtKeorBzzwtK7iSkHhXfdOu3c+d/AoB7T+2FZy8eDJ8q\nobyk3J6fGbFGgnftSjwIISgJBIIa4AsY3HR816TLHdUlD2N6FSSIEBn+FMbzeUHpqKPI9MqVREz6\n9VfyLFq9moS5UYFGrzmf09crd+HSlxegKsYcSj5FtsOHeUEoqduoGviQN8rwzPpJ+N0Y8CneDiWf\nSq6Jz3uMRMc/f4qijGZoO5y4xXwdO+Cecb1wz7ie6Nsm+aAXAOCEE4BXXyW/bUEBcOqpjgIjPLSt\nFPQYmBMIDiRCUBIIBALBQcOrsliqOZTc1XxNSYacpMQvAFSpTBjSTKvMsqaxksucmGDn93HNb9oO\nJXLe2zdPQ2GLDGQHyXGXVnknOk9YX5ZYhZ/+/RMXaMZKJ5txTlBSVXZe07jkpfw0APz+O374YTnm\nPDANKCoCADtMQ6mmQl1WQENAZ6PuLSoTnU42QlASCAQe3H5Sd7x/7XAALMT2ipGdPF22bvwJgpKG\n8Rc+lmRpC3p/LCsjThUA2LYN6GblrduyBQgEEF+5ssaiFDxXvbYQc1cXYU85cTVRhxIVgqI6E39q\nE+5WGorh1neWYOnW0oTP/H971DkjxbC8xohbHKROL69zVXTbFFw+/j4MuvB0tM9Nw5VHFyZ3YP/6\nKyk+kZVFfvtu3byX46CbSuUaFAgaEhHyJhAIBIKDhqYmNsJSCXmTaA4lDlOSIVOhyAOdy5dDE2ci\nEPB0KMWS5VDic+40NUHJdRzdCjIxrm8rXH1MYUrryzJJfh2PxyF5la8+5xxgyRJg2TIY8TgMK+St\nJGIih55X3g3mzhPy5JP496ZMvDrzAeDY/sAxx9i5kbRqfgNVkdjvDSArXJl0WSEoCQQCnlcvH4oV\n20tx3egu9jyqHaQquLgFpXS/gkVteyUuyLtB6T2xY0eSPykrC9izB7jrLuCdd0goVDgM6ZVXEOve\nAxqQkqCUHdRQWhXDBitXUkBjOZTi8bij2ptajVDvZum2Enzw6zbMXr0bAPDsh49gXW47PDHqEuCV\nV5wL33tvytttbLgFpZfnbwTAroX7Tu2Fhz4lVULbt2qGf7x+jz04Uy0DBpC/WkBDL2ub50ogqG/E\nFSgQCASCg4bbPg6kGPImSXB7kQxZhpwwl98wEzlsx0ow6JlDySEo1eRQamIhb3GwnBDTLxyEfm1z\nqlstYX0zDu9zkpEBTJ5sv6UOpUojzs4rL951SKyU9urMB8iENSJfXQ4ltl8yq+wGQDVdYSGdOrHp\nFDpkAoHg8OGYbi0cYhLAnJG+FAUXWuWNkhkg97vfvv4J+Pxz75UWu6qstWhBnJlt25L3P/xgf6St\nXkUmUrh/0UIYG/ZUQpKI2EWdwiu2l+Gq1xZy+516N5E6m0pCZB+6FW9zVFZ1kJPaM6Ux4g4BX72L\nhFPTMMbLR3ZC++bMXZuSmFTnfXG+CgQHCyEoCQQCgeCg4R7tA1Iz/EgA4i6HUlySWG4kLzQmBvl5\nQYmGvHHuI13mOgB8MszDIOStmqjBaqGiDl9RzRG2ZhiOc2XQxOeKAt2aNnkHGF/R7bjjnF9mJaG1\ncyhV07GTJQk+nReU/r+9O4+TqyrzP/49tfSapLPvIYEQiAkkYTUsCqLsEVB01AFEUTAuP8eVAcEd\nENGR0ZEojozCKOAyivsoijiggOwIBCSBSFizEJJ0lq7t/P6491adW0t3VXcnVff25/169atv361O\n1+muuvXc5zynLIvtDW8oLTPLG4ABuDN71aP8fa7bDz70ztlbmufUYHKDFbfeGj5JV5e0Y0dp6PCG\nDeHtxngBJWtLN0mqGOMHONa+tF2d6aSMMbrzSa8+3bL/uD20rzv8zVuR8YJBN9xQcd7yfSdNHqtJ\n2zZpyXOPh3dsb5deXWsu1uh5aVtGqYTR9LGljNrPnbpQcyZ0aWpPZSHt4RS81dZb5xDYVeJxFQwA\niKTBFuVOJCoDH/us/4eOXXVXzWOMk2m0pcMv/jxlSunC3LlrmnVrKNUKKAXtjMnFXNAXwxZQuu02\n7+vmm72fTz89FLTL+0E7m0zq3me9u7z3PVsqnh0a8uYW65acgJL3WNWKckuSvvY1LbnpulCGUkXQ\nMZfzZpTba6/qtZ8AwBEMCyufGbOWyhpKKf88hfAw32Q/tXDSaS9gZIy3XD6zmzHea9mKFd55tmyp\nOMVL2zLFGkcvb88WizmvXt9b9SErZmx78UVvooWPf3zAfZOdnTr0mUd1039/NLzjpz4VvgnzjW9I\nv/xl1cdvRVWTbztSoSzZo/edrFs//pqKzLThFgz7r6dMALArEVACADRNtUBAvUW5y2sopfqZ4U0K\nB5RWLP0n6dvflt7yFumCC7yVznT3oSFvbmAjxhlK9Tzv/R7vX2kHU2TryCO94qvBbG1bt4aeq0KQ\nlZRIFrOVnt7iDNlws5vKAkp9W736H/ngg12tPviXf9FRV12itnw/GUpBhtqyZf3/ggCgUjZOvUPC\nyjOUgiFvubz1hgLXI5UqzeKWSlUGlAoF6ctfli66yPv5jjsqTvGO7/y1uJwrWHW1ewGPb5x5UNWH\nrMhQ2u7PkFk2hX2hYHXN7U/pnff8TB++7fuSpPSoskkVJOl975POOSe8bvly6eSTqz5+K3OHtTWr\nhlGQpU08Cc0Wj6tgAEAkVQti1FWUW6V073J/PfdjxeV7ZswvndcZ8pZJpaV3vcsLcJx9tpeW49wp\nDs3y5g6DinFAKaijUR6oq1fQb/nyaaPdu+5VhhXaRKK4nHOfSzeQVzYU7Ud/We3tX6hRQ6nsd2jr\nr4ZSoeB9UCqfVQ4Aqghm9qp3dq3yTJVO/70oVyh4Q9h+/3tvQ3+vvalUsUaSTaf18qat1ffbvFk6\n7DDp+OMrNpXPwLbfdG8K+8Uzq09lXxFQ2uwf72ZVSbrzqY166JnN+vQf/lP/8pcbdNbS2Up3V3k9\n/cIXpKlTq7c7IvaZPFqS9LHjSzeg1m/tq7X7LrVs0XSdtP9UffS4fQfeGdiF4nEVDACIpGpj/wdb\nlDtw6c5pxeVLjn5X6bEamMEr6wZB3CCSu9zf8IQICrJ8BjvkLcgSzAPZAAAgAElEQVQ2y5efwA0S\nVclQUjJVXA7VrnL7q+y5Tj25WvrWt3T00Yt08DOPhGsoLV/ufaBynDJ/QnH53LtvCrcvm/W+yofV\nAUAVfQ1mKHW1hV+/2lLe61UmCL4HNeL6e/FNp4sZSjaZUiKTqb1v2etfLXc95dVOMsbopP0rAz3F\ngNIjj0jPP6+rb/ILdrsZSrfdpj0vuTh03OdP269ylk5JGj26rna1sp6utNZcfrKW7T9t4J13se72\nlFaccZCmjNm1tZqAgRBQAgA0TbVkpHqGXhlTWZQ74AYl8s6ySdURUPKLhfYlnYwYNyBSLaDUXyHw\nCCkW5e5vprx+BBlKufLno0aGUjDLW8HaYmbShh3OcLQaAaVNHaP01j/eIL3nPerYuF7Tt2xQertT\nA+Tqq6W77pLe/ObiqjOzT9dueDB0hAwlAHXYf4aX0TN3cn3D1dzA07JF04pDpHJB3SFjvNe47u7Q\n0OuQUIZSSu35soDSR51aRc89J910UyhA1ZcrG+orqXdnKVvztfOnFJd/NG+73vy3m0t1kfbbT3bu\nXD388BrvZzdY9OpXa9p3r1aikNd3D1wmG2QvVRvKF5N6gxJ1iwAXASUAQNOYahlKddZQqnUzN+fU\nP8q7GTHtdczg9ZvfSLffrh1tNe74uUGHILg02JSeFtOWDAI8gzs+yFCqiK+5AaUgC0qmGPjLF6ys\nn6GUr5Wh5PTj2p7wnfSv/eJL2nOv6d4PJ51U2vDjH5eWP//52g0/4wzvOxlKAOrwziPm6JaPHqUl\ns8YOvLPC73Nf/+cDi8W8c+7w4Hxeuvxy6dprS+uC+n75fEWGUnu+bOiuG8C58UZv9sqzzvKCOH/8\nY+XwNUnfPvvg4vLpB80sLh/y7n/Sl3791dAxZscOHf/End4PubLHltSRy2h7W4dMX19wxye8w5VX\nVhwTF2ctnd3sJgBNRUAJANA01WJH9RS49Goo1chQMtUzlHJddQQMurqkI46ovd29aA8CSvnKO79R\nlBrqLG/+h6aKDy5VAkpGVhk/8GedDyc1h7w5AaWt7TUyiT70IS8gWK9EQjr8cGnRIi8zbdas+o8F\nMGIZY7TXpDqLafvaUgm9frEX+A4ylq747eOlWTEDwSQGUqlWUSZTUUOpgntc4PtegWz19FQ+jqQZ\n48LD0v7tzYt16Rv2K/78gTOPCm1f9tht3sK990rr1xczeiWpK7tTvW3Oa7MbGJNiHbCfPy36Q/mA\noUgNvAsAALtGtRpK9R5XK/DhZiXlTYMBpYG4F8VxG/LmR/dqDSUcyMoXvGmqf/W35/Xeo+eWNriF\nuGWKFx47034WWCYj+cPsQhlK7vBC5+9ku5M9tnPcBHVs2uj98NWvNtbgiROlBQukadOkP/2psWMB\noAF/v+TE4vKodu+1bUNvn+56cqMO33tiacexTtZTEFDKZsMZSqkqH9+qBZQC48crWz5ZgqTutvB5\n3CwlSRq9ab3U26sKuZxe/PcVmnLbbcVVH/u//9YD0/ap3YYdO2pvi7hclecWGEnIUAIANM1gA0p/\nXfOS7nhyY9VtbpaLO2tYobOxGjk/XXB0ZR2I4EJ+8eLSckwCSsHU1oOd5e24Bd5QtN6+rI64/Bb9\nedUGb4MTUNqWc2p6pL0PSyaTkfEfMzTLW9lMQsXjnPpWm/fYq6E2hoKKL70kTZrU0PEAMFTu7HAV\nw757nBnXgtfAFSu89xk/Q6ngDOvOBu93tSad2H9/afbsqhlK3e1JacMG6bLLaqamFmbPqbp+ymWf\nCf381od+p08e0U+h6hgGlN5x+BxJ0tQeimJjZCOgBABomkTZu9CKMw5s6PgNvZXT9eYSpYvtghNc\nSvlTNT86ec8Bz3v9u1+pyT/7kbTVn5r5nHOk88/3lh9+WLr11tgFlIoZSoM8Priovu8fL+vZl3fo\np/c/621oKwWAcs6Hp2WH7e2vzGpD9zhJUsL9UFMjoJR1PkztHF19uutaUtu3lX7I5aoXjgWA3WRn\ntmzItPu6FyxfeKE3tDoY8uZkKOWD2TKddd8++NTSOT7xCckYZfOV71NdbSnvve2ii6QvftHLBC0L\ncCVe8m7cZEyNWU1POaW42DFhXHjbPk7G0rx51Y+PsE8tW6Drz32ljlswZeCdgRgjoAQAaBo3Q+mK\nNy3SSQ1OxXvwJb+vWJevkaHUljTKrVqtN51xxYDnPXzviTrCHYZwzTXeBbckLVzoDUuIWUApWSyq\nPbiQUhCQyvtBoWJsyLlzXnAuOxJ+gfNEJqsN3d4wj/acM3ORe8fd+TvJOAHD9YXGRu7nOryaIS/M\n9IfkxWAaawDRM3GUFyza2ldW4NqtOecGl9rapNWrpSVLZJ26fcVJKJyA0j/GOhMX+EPhqmUoJRNG\nuvtu74eLLuq3vX1p78bA3TMWhDc4QaPk+LKA0mteI33rW14w7I1v7Pf8UZRIGB0+d2LVyUWAkYSA\nEgCgaQY75K0/uVANpdJyKpFQYs8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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f535f8c2790>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "plt.plot(ground_true_df.times,ground_true_df.value, label = 'Actual')\n",
    "\n",
    "for i in range(len(test_output_times)):\n",
    "    if i%16 == 0:\n",
    "        prediction_df = pd.DataFrame()\n",
    "        prediction_df['times']= pd.to_datetime(test_output_times[i,:,:].reshape(-1),unit='s')\n",
    "        prediction_df['value']= predicted_inverted[i,:,:].reshape(-1)\n",
    "        plt.plot(prediction_df.times,prediction_df.value,'r', label='Predicted')\n",
    "        \n",
    "# plt.legend(loc='upper left')\n",
    "# plt.savefig('result/bitcoin2015to2017_close_LSTM_1_tanh_leaky_result.png')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2017-12-17 06:15:00', '2017-12-17 06:20:00',\n",
       "               '2017-12-17 06:25:00', '2017-12-17 06:30:00',\n",
       "               '2017-12-17 06:35:00', '2017-12-17 06:40:00',\n",
       "               '2017-12-17 06:45:00', '2017-12-17 06:50:00',\n",
       "               '2017-12-17 06:55:00', '2017-12-17 07:00:00',\n",
       "               '2017-12-17 07:05:00', '2017-12-17 07:10:00',\n",
       "               '2017-12-17 07:15:00', '2017-12-17 07:20:00',\n",
       "               '2017-12-17 07:25:00', '2017-12-17 07:30:00'],\n",
       "              dtype='datetime64[ns]', freq=None)"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.to_datetime(test_output_times[i,:,:].reshape(-1),unit='s')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
